If you think that there is an error in how your package is being tested or represented, please file an issue at NewPkgEval.jl , making sure to read the FAQ first.
Results with Julia v1.2.0
Testing was unsuccessful : testing failed for unknown reasons.
Last evaluation was ago and took 13 minutes, 14 seconds.
Click here to download the log file.
Click here to show the log contents.
Resolving package versions...
Installed Missings ─────────────── v0.4.3
Installed DataAPI ──────────────── v1.1.0
Installed Showoff ──────────────── v0.3.1
Installed Inflate ──────────────── v0.1.1
Installed Contour ──────────────── v0.5.1
Installed LineSearches ─────────── v7.0.1
Installed Colors ───────────────── v0.9.6
Installed Mamba ────────────────── v0.12.2
Installed CoupledFields ────────── v0.1.0
Installed Conda ────────────────── v1.3.0
Installed PDMats ───────────────── v0.9.10
Installed BinaryProvider ───────── v0.5.8
Installed AbstractFFTs ─────────── v0.5.0
Installed Measures ─────────────── v0.3.0
Installed StatsBase ────────────── v0.32.0
Installed CommonSubexpressions ─── v0.2.0
Installed URIParser ────────────── v0.4.0
Installed AxisAlgorithms ───────── v1.0.0
Installed Reexport ─────────────── v0.2.0
Installed Requires ─────────────── v0.5.2
Installed StatsFuns ────────────── v0.9.0
Installed NLSolversBase ────────── v7.5.0
Installed DocStringExtensions ──── v0.8.1
Installed ForwardDiff ──────────── v0.10.7
Installed Compat ───────────────── v2.2.0
Installed Compose ──────────────── v0.7.3
Installed OrderedCollections ───── v1.1.0
Installed IterTools ────────────── v1.3.0
Installed OffsetArrays ─────────── v0.11.2
Installed Loess ────────────────── v0.5.0
Installed Rmath ────────────────── v0.5.1
Installed DataStructures ───────── v0.17.6
Installed Calculus ─────────────── v0.5.1
Installed Gadfly ───────────────── v1.0.1
Installed FixedPointNumbers ────── v0.6.1
Installed KernelDensity ────────── v0.5.1
Installed LightGraphs ──────────── v1.3.0
Installed Parsers ──────────────── v0.3.10
Installed FillArrays ───────────── v0.8.2
Installed DiffEqDiffTools ──────── v1.5.0
Installed Distributions ────────── v0.21.9
Installed DiffRules ────────────── v0.1.0
Installed JSON ─────────────────── v0.21.0
Installed Graphics ─────────────── v0.4.0
Installed ArrayInterface ───────── v2.0.0
Installed Media ────────────────── v0.5.0
Installed Ratios ───────────────── v0.3.1
Installed Cairo ────────────────── v0.8.0
Installed StaticArrays ─────────── v0.12.1
Installed SimpleTraits ─────────── v0.9.1
Installed DiffResults ──────────── v0.0.4
Installed FFTW ─────────────────── v1.1.0
Installed Interpolations ───────── v0.12.5
Installed NaNMath ──────────────── v0.3.3
Installed Parameters ───────────── v0.12.0
Installed Juno ─────────────────── v0.7.2
Installed QuadGK ───────────────── v2.1.1
Installed CategoricalArrays ────── v0.7.3
Installed WoodburyMatrices ─────── v0.4.1
Installed Hexagons ─────────────── v0.2.0
Installed SortingAlgorithms ────── v0.3.1
Installed VersionParsing ───────── v1.1.3
Installed ColorTypes ───────────── v0.8.0
Installed Distances ────────────── v0.8.2
Installed MacroTools ───────────── v0.5.2
Installed SpecialFunctions ─────── v0.8.0
Installed IndirectArrays ───────── v0.5.0
Installed PositiveFactorizations ─ v0.2.3
Installed ArnoldiMethod ────────── v0.0.4
Installed Optim ────────────────── v0.19.5
Installed BinDeps ──────────────── v0.8.10
Installed Arpack ───────────────── v0.3.1
Updating `~/.julia/environments/v1.2/Project.toml`
[5424a776] + Mamba v0.12.2
Updating `~/.julia/environments/v1.2/Manifest.toml`
[621f4979] + AbstractFFTs v0.5.0
[ec485272] + ArnoldiMethod v0.0.4
[7d9fca2a] + Arpack v0.3.1
[4fba245c] + ArrayInterface v2.0.0
[13072b0f] + AxisAlgorithms v1.0.0
[9e28174c] + BinDeps v0.8.10
[b99e7846] + BinaryProvider v0.5.8
[159f3aea] + Cairo v0.8.0
[49dc2e85] + Calculus v0.5.1
[324d7699] + CategoricalArrays v0.7.3
[3da002f7] + ColorTypes v0.8.0
[5ae59095] + Colors v0.9.6
[bbf7d656] + CommonSubexpressions v0.2.0
[34da2185] + Compat v2.2.0
[a81c6b42] + Compose v0.7.3
[8f4d0f93] + Conda v1.3.0
[d38c429a] + Contour v0.5.1
[7ad07ef1] + CoupledFields v0.1.0
[9a962f9c] + DataAPI v1.1.0
[864edb3b] + DataStructures v0.17.6
[01453d9d] + DiffEqDiffTools v1.5.0
[163ba53b] + DiffResults v0.0.4
[b552c78f] + DiffRules v0.1.0
[b4f34e82] + Distances v0.8.2
[31c24e10] + Distributions v0.21.9
[ffbed154] + DocStringExtensions v0.8.1
[7a1cc6ca] + FFTW v1.1.0
[1a297f60] + FillArrays v0.8.2
[53c48c17] + FixedPointNumbers v0.6.1
[f6369f11] + ForwardDiff v0.10.7
[c91e804a] + Gadfly v1.0.1
[a2bd30eb] + Graphics v0.4.0
[a1b4810d] + Hexagons v0.2.0
[9b13fd28] + IndirectArrays v0.5.0
[d25df0c9] + Inflate v0.1.1
[a98d9a8b] + Interpolations v0.12.5
[c8e1da08] + IterTools v1.3.0
[682c06a0] + JSON v0.21.0
[e5e0dc1b] + Juno v0.7.2
[5ab0869b] + KernelDensity v0.5.1
[093fc24a] + LightGraphs v1.3.0
[d3d80556] + LineSearches v7.0.1
[4345ca2d] + Loess v0.5.0
[1914dd2f] + MacroTools v0.5.2
[5424a776] + Mamba v0.12.2
[442fdcdd] + Measures v0.3.0
[e89f7d12] + Media v0.5.0
[e1d29d7a] + Missings v0.4.3
[d41bc354] + NLSolversBase v7.5.0
[77ba4419] + NaNMath v0.3.3
[6fe1bfb0] + OffsetArrays v0.11.2
[429524aa] + Optim v0.19.5
[bac558e1] + OrderedCollections v1.1.0
[90014a1f] + PDMats v0.9.10
[d96e819e] + Parameters v0.12.0
[69de0a69] + Parsers v0.3.10
[85a6dd25] + PositiveFactorizations v0.2.3
[1fd47b50] + QuadGK v2.1.1
[c84ed2f1] + Ratios v0.3.1
[189a3867] + Reexport v0.2.0
[ae029012] + Requires v0.5.2
[79098fc4] + Rmath v0.5.1
[992d4aef] + Showoff v0.3.1
[699a6c99] + SimpleTraits v0.9.1
[a2af1166] + SortingAlgorithms v0.3.1
[276daf66] + SpecialFunctions v0.8.0
[90137ffa] + StaticArrays v0.12.1
[2913bbd2] + StatsBase v0.32.0
[4c63d2b9] + StatsFuns v0.9.0
[30578b45] + URIParser v0.4.0
[81def892] + VersionParsing v1.1.3
[efce3f68] + WoodburyMatrices v0.4.1
[2a0f44e3] + Base64
[ade2ca70] + Dates
[8bb1440f] + DelimitedFiles
[8ba89e20] + Distributed
[9fa8497b] + Future
[b77e0a4c] + InteractiveUtils
[76f85450] + LibGit2
[8f399da3] + Libdl
[37e2e46d] + LinearAlgebra
[56ddb016] + Logging
[d6f4376e] + Markdown
[a63ad114] + Mmap
[44cfe95a] + Pkg
[de0858da] + Printf
[9abbd945] + Profile
[3fa0cd96] + REPL
[9a3f8284] + Random
[ea8e919c] + SHA
[9e88b42a] + Serialization
[1a1011a3] + SharedArrays
[6462fe0b] + Sockets
[2f01184e] + SparseArrays
[10745b16] + Statistics
[4607b0f0] + SuiteSparse
[8dfed614] + Test
[cf7118a7] + UUIDs
[4ec0a83e] + Unicode
Building Conda ───────────→ `~/.julia/packages/Conda/kLXeC/deps/build.log`
Building Rmath ───────────→ `~/.julia/packages/Rmath/4wt82/deps/build.log`
Building Cairo ───────────→ `~/.julia/packages/Cairo/ZbzIH/deps/build.log`
Building FFTW ────────────→ `~/.julia/packages/FFTW/loJ3F/deps/build.log`
Building SpecialFunctions → `~/.julia/packages/SpecialFunctions/ne2iw/deps/build.log`
Building Arpack ──────────→ `~/.julia/packages/Arpack/cu5By/deps/build.log`
Testing Mamba
Resolving package versions...
Status `/tmp/jl_DH3uiH/Manifest.toml`
[621f4979] AbstractFFTs v0.5.0
[ec485272] ArnoldiMethod v0.0.4
[7d9fca2a] Arpack v0.3.1
[4fba245c] ArrayInterface v2.0.0
[13072b0f] AxisAlgorithms v1.0.0
[9e28174c] BinDeps v0.8.10
[b99e7846] BinaryProvider v0.5.8
[159f3aea] Cairo v0.8.0
[49dc2e85] Calculus v0.5.1
[324d7699] CategoricalArrays v0.7.3
[3da002f7] ColorTypes v0.8.0
[5ae59095] Colors v0.9.6
[bbf7d656] CommonSubexpressions v0.2.0
[34da2185] Compat v2.2.0
[a81c6b42] Compose v0.7.3
[8f4d0f93] Conda v1.3.0
[d38c429a] Contour v0.5.1
[7ad07ef1] CoupledFields v0.1.0
[9a962f9c] DataAPI v1.1.0
[864edb3b] DataStructures v0.17.6
[01453d9d] DiffEqDiffTools v1.5.0
[163ba53b] DiffResults v0.0.4
[b552c78f] DiffRules v0.1.0
[b4f34e82] Distances v0.8.2
[31c24e10] Distributions v0.21.9
[ffbed154] DocStringExtensions v0.8.1
[7a1cc6ca] FFTW v1.1.0
[1a297f60] FillArrays v0.8.2
[53c48c17] FixedPointNumbers v0.6.1
[f6369f11] ForwardDiff v0.10.7
[c91e804a] Gadfly v1.0.1
[a2bd30eb] Graphics v0.4.0
[a1b4810d] Hexagons v0.2.0
[9b13fd28] IndirectArrays v0.5.0
[d25df0c9] Inflate v0.1.1
[a98d9a8b] Interpolations v0.12.5
[c8e1da08] IterTools v1.3.0
[682c06a0] JSON v0.21.0
[e5e0dc1b] Juno v0.7.2
[5ab0869b] KernelDensity v0.5.1
[093fc24a] LightGraphs v1.3.0
[d3d80556] LineSearches v7.0.1
[4345ca2d] Loess v0.5.0
[1914dd2f] MacroTools v0.5.2
[5424a776] Mamba v0.12.2
[442fdcdd] Measures v0.3.0
[e89f7d12] Media v0.5.0
[e1d29d7a] Missings v0.4.3
[d41bc354] NLSolversBase v7.5.0
[77ba4419] NaNMath v0.3.3
[6fe1bfb0] OffsetArrays v0.11.2
[429524aa] Optim v0.19.5
[bac558e1] OrderedCollections v1.1.0
[90014a1f] PDMats v0.9.10
[d96e819e] Parameters v0.12.0
[69de0a69] Parsers v0.3.10
[85a6dd25] PositiveFactorizations v0.2.3
[1fd47b50] QuadGK v2.1.1
[c84ed2f1] Ratios v0.3.1
[189a3867] Reexport v0.2.0
[ae029012] Requires v0.5.2
[79098fc4] Rmath v0.5.1
[992d4aef] Showoff v0.3.1
[699a6c99] SimpleTraits v0.9.1
[a2af1166] SortingAlgorithms v0.3.1
[276daf66] SpecialFunctions v0.8.0
[90137ffa] StaticArrays v0.12.1
[2913bbd2] StatsBase v0.32.0
[4c63d2b9] StatsFuns v0.9.0
[30578b45] URIParser v0.4.0
[81def892] VersionParsing v1.1.3
[efce3f68] WoodburyMatrices v0.4.1
[2a0f44e3] Base64 [`@stdlib/Base64`]
[ade2ca70] Dates [`@stdlib/Dates`]
[8bb1440f] DelimitedFiles [`@stdlib/DelimitedFiles`]
[8ba89e20] Distributed [`@stdlib/Distributed`]
[9fa8497b] Future [`@stdlib/Future`]
[b77e0a4c] InteractiveUtils [`@stdlib/InteractiveUtils`]
[76f85450] LibGit2 [`@stdlib/LibGit2`]
[8f399da3] Libdl [`@stdlib/Libdl`]
[37e2e46d] LinearAlgebra [`@stdlib/LinearAlgebra`]
[56ddb016] Logging [`@stdlib/Logging`]
[d6f4376e] Markdown [`@stdlib/Markdown`]
[a63ad114] Mmap [`@stdlib/Mmap`]
[44cfe95a] Pkg [`@stdlib/Pkg`]
[de0858da] Printf [`@stdlib/Printf`]
[9abbd945] Profile [`@stdlib/Profile`]
[3fa0cd96] REPL [`@stdlib/REPL`]
[9a3f8284] Random [`@stdlib/Random`]
[ea8e919c] SHA [`@stdlib/SHA`]
[9e88b42a] Serialization [`@stdlib/Serialization`]
[1a1011a3] SharedArrays [`@stdlib/SharedArrays`]
[6462fe0b] Sockets [`@stdlib/Sockets`]
[2f01184e] SparseArrays [`@stdlib/SparseArrays`]
[10745b16] Statistics [`@stdlib/Statistics`]
[4607b0f0] SuiteSparse [`@stdlib/SuiteSparse`]
[8dfed614] Test [`@stdlib/Test`]
[cf7118a7] UUIDs [`@stdlib/UUIDs`]
[4ec0a83e] Unicode [`@stdlib/Unicode`]
Running tests:
>>> Testing ../doc/tutorial/line.jl
digraph MambaModel {
"beta" [shape="ellipse"];
"beta" -> "mu";
"y" [shape="ellipse", style="filled", fillcolor="gray85"];
"mu" [shape="diamond", style="filled", fillcolor="gray85"];
"mu" -> "y";
"s2" [shape="ellipse"];
"s2" -> "y";
"xmat" [shape="box", style="filled", fillcolor="gray85"];
"xmat" -> "mu";
}
MCMC Simulation of 10000 Iterations x 3 Chains...
Chain 1: 0% [1:26:49 of 1:26:54 remaining]
Chain 1: 10% [0:00:56 of 0:01:02 remaining]
Chain 1: 20% [0:00:28 of 0:00:34 remaining]
Chain 1: 30% [0:00:18 of 0:00:25 remaining]
Chain 1: 40% [0:00:12 of 0:00:21 remaining]
Chain 1: 50% [0:00:09 of 0:00:18 remaining]
Chain 1: 60% [0:00:06 of 0:00:16 remaining]
Chain 1: 70% [0:00:04 of 0:00:14 remaining]
Chain 1: 80% [0:00:03 of 0:00:13 remaining]
Chain 1: 90% [0:00:01 of 0:00:13 remaining]
Chain 1: 100% [0:00:00 of 0:00:12 remaining]
Chain 2: 0% [0:00:06 of 0:00:06 remaining]
Chain 2: 10% [0:00:05 of 0:00:05 remaining]
Chain 2: 20% [0:00:04 of 0:00:05 remaining]
Chain 2: 30% [0:00:03 of 0:00:05 remaining]
Chain 2: 40% [0:00:03 of 0:00:05 remaining]
Chain 2: 50% [0:00:02 of 0:00:04 remaining]
Chain 2: 60% [0:00:02 of 0:00:04 remaining]
Chain 2: 70% [0:00:01 of 0:00:04 remaining]
Chain 2: 80% [0:00:01 of 0:00:05 remaining]
Chain 2: 90% [0:00:00 of 0:00:05 remaining]
Chain 2: 100% [0:00:00 of 0:00:05 remaining]
Chain 3: 0% [0:00:05 of 0:00:05 remaining]
Chain 3: 10% [0:00:03 of 0:00:03 remaining]
Chain 3: 20% [0:00:02 of 0:00:03 remaining]
Chain 3: 30% [0:00:02 of 0:00:02 remaining]
Chain 3: 40% [0:00:02 of 0:00:03 remaining]
Chain 3: 50% [0:00:01 of 0:00:03 remaining]
Chain 3: 60% [0:00:01 of 0:00:02 remaining]
Chain 3: 70% [0:00:01 of 0:00:02 remaining]
Chain 3: 80% [0:00:00 of 0:00:02 remaining]
Chain 3: 90% [0:00:00 of 0:00:02 remaining]
Chain 3: 100% [0:00:00 of 0:00:02 remaining]
MCMC Simulation of 10000 Iterations x 3 Chains...
Chain 1: 0% [0:01:29 of 0:01:29 remaining]
Chain 1: 10% [0:00:09 of 0:00:10 remaining]
Chain 1: 20% [0:00:07 of 0:00:09 remaining]
Chain 1: 30% [0:00:06 of 0:00:09 remaining]
Chain 1: 40% [0:00:05 of 0:00:09 remaining]
Chain 1: 50% [0:00:04 of 0:00:09 remaining]
Chain 1: 60% [0:00:04 of 0:00:09 remaining]
Chain 1: 70% [0:00:03 of 0:00:09 remaining]
Chain 1: 80% [0:00:02 of 0:00:09 remaining]
Chain 1: 90% [0:00:01 of 0:00:09 remaining]
Chain 1: 100% [0:00:00 of 0:00:08 remaining]
Chain 2: 0% [0:00:12 of 0:00:12 remaining]
Chain 2: 10% [0:00:07 of 0:00:08 remaining]
Chain 2: 20% [0:00:06 of 0:00:08 remaining]
Chain 2: 30% [0:00:05 of 0:00:07 remaining]
Chain 2: 40% [0:00:04 of 0:00:07 remaining]
Chain 2: 50% [0:00:04 of 0:00:07 remaining]
Chain 2: 60% [0:00:03 of 0:00:07 remaining]
Chain 2: 70% [0:00:02 of 0:00:07 remaining]
Chain 2: 80% [0:00:01 of 0:00:07 remaining]
Chain 2: 90% [0:00:01 of 0:00:07 remaining]
Chain 2: 100% [0:00:00 of 0:00:07 remaining]
Chain 3: 0% [0:00:18 of 0:00:18 remaining]
Chain 3: 10% [0:00:11 of 0:00:13 remaining]
Chain 3: 20% [0:00:10 of 0:00:12 remaining]
Chain 3: 30% [0:00:09 of 0:00:12 remaining]
Chain 3: 40% [0:00:08 of 0:00:13 remaining]
Chain 3: 50% [0:00:06 of 0:00:13 remaining]
Chain 3: 60% [0:00:05 of 0:00:12 remaining]
Chain 3: 70% [0:00:04 of 0:00:12 remaining]
Chain 3: 80% [0:00:02 of 0:00:12 remaining]
Chain 3: 90% [0:00:01 of 0:00:12 remaining]
Chain 3: 100% [0:00:00 of 0:00:12 remaining]
MCMC Simulation of 10000 Iterations x 3 Chains...
Chain 1: 0% [1:37:13 of 1:37:19 remaining]
Chain 1: 10% [0:00:53 of 0:00:59 remaining]
Chain 1: 20% [0:00:24 of 0:00:30 remaining]
Chain 1: 30% [0:00:14 of 0:00:20 remaining]
Chain 1: 40% [0:00:09 of 0:00:15 remaining]
Chain 1: 50% [0:00:06 of 0:00:12 remaining]
Chain 1: 60% [0:00:04 of 0:00:10 remaining]
Chain 1: 70% [0:00:03 of 0:00:09 remaining]
Chain 1: 80% [0:00:02 of 0:00:08 remaining]
Chain 1: 90% [0:00:01 of 0:00:07 remaining]
Chain 1: 100% [0:00:00 of 0:00:06 remaining]
Chain 2: 0% [0:00:00 of 0:00:00 remaining]
Chain 2: 10% [0:00:00 of 0:00:00 remaining]
Chain 2: 20% [0:00:00 of 0:00:00 remaining]
Chain 2: 30% [0:00:00 of 0:00:00 remaining]
Chain 2: 40% [0:00:00 of 0:00:00 remaining]
Chain 2: 50% [0:00:00 of 0:00:00 remaining]
Chain 2: 60% [0:00:00 of 0:00:00 remaining]
Chain 2: 70% [0:00:00 of 0:00:00 remaining]
Chain 2: 80% [0:00:00 of 0:00:01 remaining]
Chain 2: 90% [0:00:00 of 0:00:01 remaining]
Chain 2: 100% [0:00:00 of 0:00:01 remaining]
Chain 3: 0% [0:00:00 of 0:00:00 remaining]
Chain 3: 10% [0:00:01 of 0:00:01 remaining]
Chain 3: 20% [0:00:00 of 0:00:01 remaining]
Chain 3: 30% [0:00:00 of 0:00:01 remaining]
Chain 3: 40% [0:00:00 of 0:00:01 remaining]
Chain 3: 50% [0:00:00 of 0:00:00 remaining]
Chain 3: 60% [0:00:00 of 0:00:00 remaining]
Chain 3: 70% [0:00:00 of 0:00:00 remaining]
Chain 3: 80% [0:00:00 of 0:00:01 remaining]
Chain 3: 90% [0:00:00 of 0:00:01 remaining]
Chain 3: 100% [0:00:00 of 0:00:01 remaining]
Iterations = 252:10000
Thinning interval = 2
Chains = 1,2,3
Samples per chain = 4875
Gelman, Rubin, and Brooks Diagnostic:
PSRF 97.5%
s2 1.004 1.007
beta[1] 1.008 1.009
beta[2] 1.006 1.007
Multivariate 1.002 NaN
Iterations = 252:10000
Thinning interval = 2
Chains = 1,2,3
Samples per chain = 4875
Geweke Diagnostic:
First Window Fraction = 0.1
Second Window Fraction = 0.5
Z-score p-value
s2 -0.385 0.7005
beta[1] -1.437 0.1506
beta[2] 1.610 0.1073
Z-score p-value
s2 0.324 0.7460
beta[1] 1.350 0.1769
beta[2] -1.493 0.1354
Z-score p-value
s2 -0.444 0.6568
beta[1] 1.274 0.2027
beta[2] -1.678 0.0934
Iterations = 252:10000
Thinning interval = 2
Chains = 1,2,3
Samples per chain = 4875
Heidelberger and Welch Diagnostic:
Target Halfwidth Ratio = 0.1
Alpha = 0.05
Burn-in Stationarity p-value Mean Halfwidth Test
s2 2199 1 0.6066 1.15095914 0.157759205 0
beta[1] 251 1 0.1365 0.57660673 0.066788841 0
beta[2] 251 1 0.0849 0.80598853 0.018926192 1
Burn-in Stationarity p-value Mean Halfwidth Test
s2 251 1 0.9163 1.1147664 0.166389252 0
beta[1] 251 1 0.5968 0.5815833 0.063650960 0
beta[2] 251 1 0.6460 0.8032482 0.018441451 1
Burn-in Stationarity p-value Mean Halfwidth Test
s2 2199 1 0.3622 1.24456315 0.42256102 0
beta[1] 251 1 0.5198 0.62267152 0.18692753 0
beta[2] 251 1 0.5275 0.79439123 0.04836314 1
Iterations = 252:10000
Thinning interval = 2
Chains = 1,2,3
Samples per chain = 4875
Raftery and Lewis Diagnostic:
Quantile (q) = 0.025
Accuracy (r) = 0.005
Probability (s) = 0.95
Thinning Burn-in Total Nmin Dependence Factor
s2 2 253 7.7470×10³ 3746 2.0680726
beta[1] 2 279 2.9951×10⁴ 3746 7.9954618
beta[2] 4 275 2.7147×10⁴ 3746 7.2469301
Thinning Burn-in Total Nmin Dependence Factor
s2 2 257 8.8310×10³ 3746 2.3574479
beta[1] 2 269 1.9007×10⁴ 3746 5.0739455
beta[2] 4 271 2.1147×10⁴ 3746 5.6452216
Thinning Burn-in Total Nmin Dependence Factor
s2 4 267 2.1151×10⁴ 3746 5.6462894
beta[1] 2 291 4.3767×10⁴ 3746 11.6836626
beta[2] 4 283 3.6335×10⁴ 3746 9.6996797
Iterations = 252:10000
Thinning interval = 2
Chains = 1,2,3
Samples per chain = 4875
Empirical Posterior Estimates:
Mean SD Naive SE MCSE ESS
s2 1.34195938 2.26493828 0.0187287345 0.120510626 353.23364
beta[1] 0.59362053 1.25656267 0.0103904945 0.033806208 1381.57793
beta[2] 0.80120933 0.37752149 0.0031217185 0.009392822 1615.44139
Quantiles:
2.5% 25.0% 50.0% 75.0% 97.5%
s2 0.17564293 0.388954662 0.6693062 1.32134292 7.3910865
beta[1] -1.99224168 0.054476417 0.6301930 1.18120389 2.9232332
beta[2] 0.10855704 0.623902978 0.7894798 0.96728754 1.5591833
95% Lower 95% Upper
s2 0.07408963 4.4775756
beta[1] -1.75439813 3.0814022
beta[2] 0.09541722 1.5365782
s2 beta[1] beta[2]
s2 1.00000000 -0.11862474 0.09980099
beta[1] -0.11862474 1.00000000 -0.90880284
beta[2] 0.09980099 -0.90880284 1.00000000
Lag 2 Lag 10 Lag 20 Lag 100
s2 0.91347560 0.723053227 0.560237056 0.0007369812
beta[1] 0.33112180 0.029039767 -0.053065190 -0.0374799587
beta[2] 0.28410422 0.005044630 -0.040224322 -0.0357209602
Lag 2 Lag 10 Lag 20 Lag 100
s2 0.75588882 0.349531641 0.1374682700 -0.006928787
beta[1] 0.35175047 0.057134410 0.0131967370 -0.020068916
beta[2] 0.32263276 0.035103726 0.0048650670 -0.026414706
Lag 2 Lag 10 Lag 20 Lag 100
s2 0.93638308 0.80613793 0.64147781 0.160410235
beta[1] 0.59582330 0.24698778 0.18212531 0.070951705
beta[2] 0.57681437 0.21401694 0.12886571 0.035605784
Change Rate
s2 1.000
beta[1] 0.591
beta[2] 0.591
Multivariate 1.000
MCMC Processing of 4875 Iterations x 3 Chains...
Chain 1: 0% [0:05:59 of 0:05:59 remaining]
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Chain 3: 70% [0:00:00 of 0:00:01 remaining]
Chain 3: 80% [0:00:00 of 0:00:01 remaining]
Chain 3: 90% [0:00:00 of 0:00:01 remaining]
Chain 3: 100% [0:00:00 of 0:00:01 remaining]
DIC Effective Parameters
pD 13.765813 0.95672434
pV 24.441680 6.29465778
Iterations = 1000:5000
Thinning interval = 2
Chains = 1,2,3
Samples per chain = 2001
Empirical Posterior Estimates:
Mean SD Naive SE MCSE ESS
beta[1] 0.5270595 1.4699730 0.0189725278 0.0534293539 756.93554
beta[2] 0.8211748 0.4416773 0.0057006043 0.0143178787 951.59638
Quantiles:
2.5% 25.0% 50.0% 75.0% 97.5%
beta[1] -2.584665659 -0.0011594201 0.58367672 1.12380636 3.1966005
beta[2] 0.021264304 0.6337142186 0.81011045 0.97955732 1.6932279
MCMC Simulation of 5000 Iterations x 3 Chains...
Chain 1: 0% [0:00:14 of 0:00:14 remaining]
Chain 1: 10% [0:00:03 of 0:00:03 remaining]
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Chain 1: 70% [0:00:01 of 0:00:04 remaining]
Chain 1: 80% [0:00:01 of 0:00:04 remaining]
Chain 1: 90% [0:00:00 of 0:00:03 remaining]
Chain 1: 100% [0:00:00 of 0:00:03 remaining]
Chain 2: 0% [0:00:02 of 0:00:02 remaining]
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Chain 2: 70% [0:00:01 of 0:00:03 remaining]
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Chain 2: 90% [0:00:00 of 0:00:03 remaining]
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Chain 3: 50% [0:00:01 of 0:00:01 remaining]
Chain 3: 60% [0:00:01 of 0:00:01 remaining]
Chain 3: 70% [0:00:00 of 0:00:01 remaining]
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Chain 3: 90% [0:00:00 of 0:00:01 remaining]
Chain 3: 100% [0:00:00 of 0:00:01 remaining]
Iterations = 252:15000
Thinning interval = 2
Chains = 1,2,3
Samples per chain = 7375
Empirical Posterior Estimates:
Mean SD Naive SE MCSE ESS
s2 1.32157705 2.0986164 0.0141088440 0.0882947137 564.93273
beta[1] 0.60144995 1.2458026 0.0083754396 0.0257509052 2340.52616
beta[2] 0.80047181 0.3753913 0.0025237281 0.0072669582 2668.47456
Quantiles:
2.5% 25.0% 50.0% 75.0% 97.5%
s2 0.17796002 0.39611210 0.68250300 1.34503801 6.8621026
beta[1] -1.97959921 0.01509525 0.63810288 1.20952328 2.9326572
beta[2] 0.09143892 0.61617835 0.79653393 0.97466715 1.5670585
Object of type "Model"
-------------------------------------------------------------------------------
beta:
A monitored node of type "2-element ArrayStochastic{1}"
[1.1902678809862768, 2.04817970778924]
-------------------------------------------------------------------------------
y:
An unmonitored node of type "5-element ArrayStochastic{1}"
[1.0, 3.0, 3.0, 3.0, 5.0]
-------------------------------------------------------------------------------
mu:
An unmonitored node of type "5-element ArrayLogical{1}"
[3.2384475887755166, 5.286627296564756, 7.334807004353996, 9.382986712143236, 11.431166419932476]
-------------------------------------------------------------------------------
xmat:
[1.0 1.0; 1.0 2.0; 1.0 3.0; 1.0 4.0; 1.0 5.0]
-------------------------------------------------------------------------------
s2:
A monitored node of type "ScalarStochastic"
0.5089331579554403
>>> Testing ../doc/samplers/amm.jl
Iterations = 1:5000
Thinning interval = 1
Chains = 1
Samples per chain = 5000
Empirical Posterior Estimates:
Mean SD Naive SE MCSE ESS
b0 0.64517314 1.24757447 0.017643367 0.077890318 256.54645
b1 0.77989321 0.39436878 0.005577217 0.027694002 202.78397
s2 1.46868477 2.71633428 0.038414768 0.178202069 232.34907
Quantiles:
2.5% 25.0% 50.0% 75.0% 97.5%
b0 -1.768364974 0.06974128 0.61720286 1.29023652 3.1789614
b1 0.010584061 0.57947874 0.78001712 0.97541858 1.5733141
s2 0.181878908 0.41367730 0.67597582 1.40504444 8.5217766
>>> Testing ../doc/samplers/amwg.jl
Iterations = 1:5000
Thinning interval = 1
Chains = 1
Samples per chain = 5000
Empirical Posterior Estimates:
Mean SD Naive SE MCSE ESS
b0 0.5983881 1.5898262 0.0224835377 0.162560986 95.645964
b1 0.8006155 0.4358909 0.0061644284 0.042038394 107.513597
s2 2.2710644 9.1262030 0.1290640007 0.686946293 176.495925
Quantiles:
2.5% 25.0% 50.0% 75.0% 97.5%
b0 -2.17471713 0.03038741 0.67912808 1.30557650 3.3496859
b1 0.03755749 0.60096712 0.77599921 0.96011511 1.7513752
s2 0.16901125 0.39945048 0.70340929 1.47274298 13.3376638
>>> Testing ../doc/samplers/bhmc.jl
Iterations = 1:10000
Thinning interval = 1
Chains = 1
Samples per chain = 10000
Empirical Posterior Estimates:
Mean SD Naive SE MCSE ESS
gamma[1] 0.5425 0.49821539 0.0049821539 0.0043794170 10000.0000
gamma[2] 1.0000 0.00000000 0.0000000000 0.0000000000 NaN
gamma[3] 0.3125 0.46353558 0.0046353558 0.0052442850 7812.5639
gamma[4] 1.0000 0.00000000 0.0000000000 0.0000000000 NaN
gamma[5] 0.7132 0.45228997 0.0045228997 0.0056726884 6357.0562
gamma[6] 0.7342 0.44178035 0.0044178035 0.0055526497 6330.1242
gamma[7] 1.0000 0.00000000 0.0000000000 0.0000000000 NaN
gamma[8] 0.5202 0.49961677 0.0049961677 0.0030648875 10000.0000
gamma[9] 0.4972 0.50001716 0.0050001716 0.0063230858 6253.3346
gamma[10] 0.7768 0.41641218 0.0041641218 0.0044537579 8741.6542
Quantiles:
2.5% 25.0% 50.0% 75.0% 97.5%
gamma[1] 0 0 1 1 1
gamma[2] 1 1 1 1 1
gamma[3] 0 0 0 1 1
gamma[4] 1 1 1 1 1
gamma[5] 0 0 1 1 1
gamma[6] 0 0 1 1 1
gamma[7] 1 1 1 1 1
gamma[8] 0 0 1 1 1
gamma[9] 0 0 0 1 1
gamma[10] 0 1 1 1 1
>>> Testing ../doc/samplers/bia.jl
Iterations = 1:10000
Thinning interval = 1
Chains = 1
Samples per chain = 10000
Empirical Posterior Estimates:
Mean SD Naive SE MCSE ESS
gamma[1] 0.6803 0.466383599 0.00466383599 0.0130286824 1281.40243
gamma[2] 0.9996 0.019996999 0.00019996999 0.0004000000 2499.24992
gamma[3] 0.0012 0.034621956 0.00034621956 0.0009458041 1339.98766
gamma[4] 0.9973 0.051893924 0.00051893924 0.0027000000 369.40731
gamma[5] 0.9978 0.046854877 0.00046854877 0.0022000000 453.59081
gamma[6] 0.9997 0.017318776 0.00017318776 0.0003000000 3332.66660
gamma[7] 0.9982 0.042390325 0.00042390325 0.0018000000 554.61102
gamma[8] 0.6932 0.461188714 0.00461188714 0.0113109226 1662.49857
gamma[9] 0.0000 0.000000000 0.00000000000 0.0000000000 NaN
gamma[10] 0.9986 0.037392243 0.00037392243 0.0014000000 713.35705
Quantiles:
2.5% 25.0% 50.0% 75.0% 97.5%
gamma[1] 0 0 1 1 1
gamma[2] 1 1 1 1 1
gamma[3] 0 0 0 0 0
gamma[4] 1 1 1 1 1
gamma[5] 1 1 1 1 1
gamma[6] 1 1 1 1 1
gamma[7] 1 1 1 1 1
gamma[8] 0 0 1 1 1
gamma[9] 0 0 0 0 0
gamma[10] 1 1 1 1 1
>>> Testing ../doc/samplers/bmc3.jl
Iterations = 1:10000
Thinning interval = 1
Chains = 1
Samples per chain = 10000
Empirical Posterior Estimates:
Mean SD Naive SE MCSE ESS
gamma[1] 0.6650 0.472014067 0.00472014067 0.016079035 861.767169
gamma[2] 0.9994 0.024488772 0.00024488772 0.000600000 1665.833250
gamma[3] 0.0066 0.080975896 0.00080975896 0.004697345 297.171117
gamma[4] 1.0000 0.000000000 0.00000000000 0.000000000 NaN
gamma[5] 0.9551 0.207094855 0.00207094855 0.020172236 105.397559
gamma[6] 0.9984 0.039969986 0.00039969986 0.001600000 624.062406
gamma[7] 0.9997 0.017318776 0.00017318776 0.000300000 3332.666600
gamma[8] 0.6763 0.467910466 0.00467910466 0.017424385 721.125084
gamma[9] 0.0443 0.205771097 0.00205771097 0.019798610 108.018801
gamma[10] 0.9595 0.197138622 0.00197138622 0.019414862 103.103834
Quantiles:
2.5% 25.0% 50.0% 75.0% 97.5%
gamma[1] 0 0 1 1 1
gamma[2] 1 1 1 1 1
gamma[3] 0 0 0 0 0
gamma[4] 1 1 1 1 1
gamma[5] 0 1 1 1 1
gamma[6] 1 1 1 1 1
gamma[7] 1 1 1 1 1
gamma[8] 0 0 1 1 1
gamma[9] 0 0 0 0 1
gamma[10] 0 1 1 1 1
Iterations = 1:10000
Thinning interval = 1
Chains = 1
Samples per chain = 10000
Empirical Posterior Estimates:
Mean SD Naive SE MCSE ESS
gamma[1] 0.6735 0.468956013 0.00468956013 0.0147486517 1011.01961
gamma[2] 1.0000 0.000000000 0.00000000000 0.0000000000 NaN
gamma[3] 0.0037 0.060718026 0.00060718026 0.0037000000 269.29720
gamma[4] 0.9989 0.033149659 0.00033149659 0.0011000000 908.18173
gamma[5] 0.9959 0.063903039 0.00063903039 0.0041000000 242.92673
gamma[6] 0.9999 0.010000000 0.00010000000 0.0001000000 10000.00000
gamma[7] 0.9998 0.014141428 0.00014141428 0.0002000000 4999.49995
gamma[8] 0.7079 0.454750778 0.00454750778 0.0161778593 790.14136
gamma[9] 0.0029 0.053776195 0.00053776195 0.0029000000 343.86197
gamma[10] 0.9997 0.017318776 0.00017318776 0.0003000000 3332.66660
Quantiles:
2.5% 25.0% 50.0% 75.0% 97.5%
gamma[1] 0 0 1 1 1
gamma[2] 1 1 1 1 1
gamma[3] 0 0 0 0 0
gamma[4] 1 1 1 1 1
gamma[5] 1 1 1 1 1
gamma[6] 1 1 1 1 1
gamma[7] 1 1 1 1 1
gamma[8] 0 0 1 1 1
gamma[9] 0 0 0 0 0
gamma[10] 1 1 1 1 1
>>> Testing ../doc/samplers/bmg.jl
Iterations = 1:10000
Thinning interval = 1
Chains = 1
Samples per chain = 10000
Empirical Posterior Estimates:
Mean SD Naive SE MCSE ESS
gamma[1] 0.6815 0.465917866 0.00465917866 0.01827698 649.84515
gamma[2] 0.9986 0.037392243 0.00037392243 0.00140000 713.35705
gamma[3] 0.0000 0.000000000 0.00000000000 0.00000000 NaN
gamma[4] 1.0000 0.000000000 0.00000000000 0.00000000 NaN
gamma[5] 0.9965 0.059060129 0.00059060129 0.00350000 284.74276
gamma[6] 0.9993 0.026449574 0.00026449574 0.00070000 1427.71420
gamma[7] 0.9998 0.014141428 0.00014141428 0.00020000 4999.49995
gamma[8] 0.7064 0.455433620 0.00455433620 0.01727585 694.97853
gamma[9] 0.0010 0.031608542 0.00031608542 0.00100000 999.09991
gamma[10] 0.9997 0.017318776 0.00017318776 0.00030000 3332.66660
Quantiles:
2.5% 25.0% 50.0% 75.0% 97.5%
gamma[1] 0 0 1 1 1
gamma[2] 1 1 1 1 1
gamma[3] 0 0 0 0 0
gamma[4] 1 1 1 1 1
gamma[5] 1 1 1 1 1
gamma[6] 1 1 1 1 1
gamma[7] 1 1 1 1 1
gamma[8] 0 0 1 1 1
gamma[9] 0 0 0 0 0
gamma[10] 1 1 1 1 1
Iterations = 1:10000
Thinning interval = 1
Chains = 1
Samples per chain = 10000
Empirical Posterior Estimates:
Mean SD Naive SE MCSE ESS
gamma[1] 0.6710 0.469873470 0.00469873470 0.020368574 532.15803
gamma[2] 0.9961 0.062331200 0.00062331200 0.003900000 255.43580
gamma[3] 0.0027 0.051893924 0.00051893924 0.002700000 369.40731
gamma[4] 0.9993 0.026449574 0.00026449574 0.000700000 1427.71420
gamma[5] 0.9955 0.066934281 0.00066934281 0.004500000 221.24435
gamma[6] 0.9935 0.080364145 0.00080364145 0.005362374 224.60040
gamma[7] 0.9981 0.043549738 0.00043549738 0.001900000 525.36833
gamma[8] 0.6999 0.458324117 0.00458324117 0.019149331 572.84644
gamma[9] 0.0000 0.000000000 0.00000000000 0.000000000 NaN
gamma[10] 0.9994 0.024488772 0.00024488772 0.000600000 1665.83325
Quantiles:
2.5% 25.0% 50.0% 75.0% 97.5%
gamma[1] 0 0 1 1 1
gamma[2] 1 1 1 1 1
gamma[3] 0 0 0 0 0
gamma[4] 1 1 1 1 1
gamma[5] 1 1 1 1 1
gamma[6] 1 1 1 1 1
gamma[7] 1 1 1 1 1
gamma[8] 0 0 1 1 1
gamma[9] 0 0 0 0 0
gamma[10] 1 1 1 1 1
>>> Testing ../doc/samplers/hmc.jl
Iterations = 1:5000
Thinning interval = 1
Chains = 1
Samples per chain = 5000
Empirical Posterior Estimates:
Mean SD Naive SE MCSE ESS
b0 0.60451952 1.1284466 0.015958645 0.025607013 1941.9776
b1 0.79549121 0.3722029 0.005263744 0.008116710 2102.8071
s2 1.46471593 11.2410048 0.158971815 0.210699467 2846.3178
Quantiles:
2.5% 25.0% 50.0% 75.0% 97.5%
b0 -1.66151491 0.046178832 0.60566725 1.18702384 2.9084773
b1 0.09630599 0.619459897 0.79984555 0.97293797 1.4893501
s2 0.18534677 0.386599719 0.65481074 1.24535336 6.6215146
Iterations = 1:5000
Thinning interval = 1
Chains = 1
Samples per chain = 5000
Empirical Posterior Estimates:
Mean SD Naive SE MCSE ESS
b0 0.6145662 1.23110198 0.0174104112 0.033448114 1354.70519
b1 0.7976376 0.37208436 0.0052620675 0.009495936 1535.34964
s2 1.9771656 10.01151208 0.1415841616 0.383226166 682.47861
Quantiles:
2.5% 25.0% 50.0% 75.0% 97.5%
b0 -1.711866552 -0.04800589 0.61048231 1.22779315 3.1735388
b1 0.046501768 0.61125795 0.79818096 0.98676983 1.4918121
s2 0.188950592 0.41020058 0.70824469 1.36110757 9.5760505
>>> Testing ../doc/samplers/mala.jl
Iterations = 1:5000
Thinning interval = 1
Chains = 1
Samples per chain = 5000
Empirical Posterior Estimates:
Mean SD Naive SE MCSE ESS
b0 0.34136194 1.21074246 0.017122484 0.151245628 64.08227
b1 0.85990983 0.36498865 0.005161719 0.042260334 74.59210
s2 1.48792963 2.39449162 0.033863225 0.233046432 105.57029
Quantiles:
2.5% 25.0% 50.0% 75.0% 97.5%
b0 -2.90386299 -0.19647056 0.45754183 0.97899976 2.4999647
b1 0.18044135 0.66474175 0.84853677 1.00663016 1.7405394
s2 0.21968329 0.48697728 0.74955479 1.36570643 7.8756131
Iterations = 1:5000
Thinning interval = 1
Chains = 1
Samples per chain = 5000
Empirical Posterior Estimates:
Mean SD Naive SE MCSE ESS
b0 0.59247178 1.09876826 0.015538930 0.129271385 72.244935
b1 0.73297426 0.37932675 0.005364490 0.044272635 73.410166
s2 1.41027533 3.04117468 0.043008705 0.245517327 153.432879
Quantiles:
2.5% 25.0% 50.0% 75.0% 97.5%
b0 -1.12842144 -0.06875475 0.40808971 0.9631630 3.4677428
b1 -0.05039977 0.57286779 0.80402089 0.9751071 1.3788077
s2 0.15904121 0.33314739 0.73421692 1.2740506 7.1310153
>>> Testing ../doc/samplers/nuts.jl
Iterations = 1001:5000
Thinning interval = 1
Chains = 1
Samples per chain = 4000
Empirical Posterior Estimates:
Mean SD Naive SE MCSE ESS
b0 0.66914226 1.0945001 0.0173055666 0.064556878 287.43960
b1 0.77648433 0.3427419 0.0054192252 0.017662785 376.54424
s2 1.51252048 3.3326882 0.0526944266 0.167702673 394.92024
Quantiles:
2.5% 25.0% 50.0% 75.0% 97.5%
b0 -1.76855918 0.15777199 0.65890810 1.2382394 2.9773537
b1 0.07726954 0.60234694 0.77860194 0.9393142 1.4817098
s2 0.20596504 0.45951879 0.76550997 1.4054256 7.5898837
>>> Testing ../doc/samplers/rwm.jl
Iterations = 1:5000
Thinning interval = 1
Chains = 1
Samples per chain = 5000
Empirical Posterior Estimates:
Mean SD Naive SE MCSE ESS
b0 0.50814446 0.95649687 0.0135269085 0.105741241 81.82355
b1 0.82845138 0.29152116 0.0041227318 0.031171455 87.46333
s2 1.09352799 1.51797233 0.0214673706 0.072343598 440.27852
Quantiles:
2.5% 25.0% 50.0% 75.0% 97.5%
b0 -1.40016641 -0.10053289 0.52105167 1.1664813 2.3420987
b1 0.27991615 0.63683768 0.81974517 1.0071005 1.4073847
s2 0.18553138 0.40129932 0.68770085 1.1990384 4.5481870
>>> Testing ../doc/samplers/slice.jl
Iterations = 1:5000
Thinning interval = 1
Chains = 1
Samples per chain = 5000
Empirical Posterior Estimates:
Mean SD Naive SE MCSE ESS
b0 0.95121197 1.39800189 0.019770732 0.16058158 75.792124
b1 0.70804449 0.38972473 0.005511540 0.04083353 91.092384
s2 1.68897644 4.98568184 0.070508189 0.41400577 145.022818
Quantiles:
2.5% 25.0% 50.0% 75.0% 97.5%
b0 -1.18134932 0.22505842 0.75133123 1.3961206 5.2902465
b1 -0.24667682 0.57032710 0.75324890 0.9190770 1.3468726
s2 0.16329786 0.38360098 0.64859723 1.3052359 10.1810850
Iterations = 1:5000
Thinning interval = 1
Chains = 1
Samples per chain = 5000
Empirical Posterior Estimates:
Mean SD Naive SE MCSE ESS
b0 0.5918173 0.97247832 0.0137529202 0.088171432 121.64775
b1 0.8010611 0.29639544 0.0041916646 0.023762408 155.58300
s2 1.1918742 2.91584961 0.0412363406 0.118877515 601.63183
Quantiles:
2.5% 25.0% 50.0% 75.0% 97.5%
b0 -1.53289453 0.06956086 0.62086125 1.12897029 2.5922503
b1 0.19746079 0.64147194 0.79976963 0.95676223 1.4487573
s2 0.16453963 0.36687076 0.61831108 1.15173238 5.9535381
>>> Testing ../doc/samplers/slicesimplex.jl
Iterations = 1:10000
Thinning interval = 1
Chains = 1
Samples per chain = 10000
Empirical Posterior Estimates:
Mean SD Naive SE MCSE ESS
rho[1] 0.07476911 0.026434234 0.00026434234 0.00058134415 2067.6015
rho[2] 0.44091967 0.052623862 0.00052623862 0.00146093979 1297.4804
rho[3] 0.09503348 0.031574733 0.00031574733 0.00055015730 3293.8637
rho[4] 0.14108488 0.035708842 0.00035708842 0.00083693491 1820.4056
rho[5] 0.24819285 0.044896094 0.00044896094 0.00132236257 1152.6993
Quantiles:
2.5% 25.0% 50.0% 75.0% 97.5%
rho[1] 0.032394429 0.055449058 0.071200329 0.09103007 0.13472478
rho[2] 0.341303914 0.404552642 0.439557468 0.47540673 0.55034653
rho[3] 0.045207588 0.072086046 0.091223859 0.11345155 0.16647836
rho[4] 0.079540280 0.115164882 0.138127751 0.16421031 0.21812832
rho[5] 0.165305802 0.216317551 0.246600090 0.27782925 0.34049218
>>> Testing ../doc/mcmc/discretediag.jl
ERROR: LoadError: LoadError: ArgumentError: Package Test not found in current path:
- Run `import Pkg; Pkg.add("Test")` to install the Test package.
Stacktrace:
[1] require(::Module, ::Symbol) at ./loading.jl:876
[2] include at ./boot.jl:328 [inlined]
[3] include_relative(::Module, ::String) at ./loading.jl:1094
[4] include(::Module, ::String) at ./Base.jl:31
[5] include(::String) at ./client.jl:431
[6] macro expansion at /root/.julia/packages/Mamba/Jotzr/test/utils.jl:5 [inlined]
[7] top-level scope at /root/.julia/packages/Mamba/Jotzr/test/runtests.jl:48
[8] include at ./boot.jl:328 [inlined]
[9] include_relative(::Module, ::String) at ./loading.jl:1094
[10] include(::Module, ::String) at ./Base.jl:31
[11] include(::String) at ./client.jl:431
[12] top-level scope at none:5
in expression starting at /root/.julia/packages/Mamba/Jotzr/doc/mcmc/discretediag.jl:1
in expression starting at /root/.julia/packages/Mamba/Jotzr/test/runtests.jl:47
ERROR: Package Mamba errored during testing
Stacktrace:
[1] pkgerror(::String, ::Vararg{String,N} where N) at /buildworker/worker/package_linux64/build/usr/share/julia/stdlib/v1.2/Pkg/src/Types.jl:112
[2] #test#119(::Bool, ::Nothing, ::typeof(Pkg.Operations.test), ::Pkg.Types.Context, ::Array{Pkg.Types.PackageSpec,1}) at /buildworker/worker/package_linux64/build/usr/share/julia/stdlib/v1.2/Pkg/src/Operations.jl:1288
[3] #test at ./none:0 [inlined]
[4] #test#62(::Bool, ::Nothing, ::Base.Iterators.Pairs{Union{},Union{},Tuple{},NamedTuple{(),Tuple{}}}, ::typeof(Pkg.API.test), ::Pkg.Types.Context, ::Array{Pkg.Types.PackageSpec,1}) at /buildworker/worker/package_linux64/build/usr/share/julia/stdlib/v1.2/Pkg/src/API.jl:245
[5] test at /buildworker/worker/package_linux64/build/usr/share/julia/stdlib/v1.2/Pkg/src/API.jl:233 [inlined]
[6] #test#61 at /buildworker/worker/package_linux64/build/usr/share/julia/stdlib/v1.2/Pkg/src/API.jl:230 [inlined]
[7] test at /buildworker/worker/package_linux64/build/usr/share/julia/stdlib/v1.2/Pkg/src/API.jl:230 [inlined]
[8] #test#60 at /buildworker/worker/package_linux64/build/usr/share/julia/stdlib/v1.2/Pkg/src/API.jl:229 [inlined]
[9] test at /buildworker/worker/package_linux64/build/usr/share/julia/stdlib/v1.2/Pkg/src/API.jl:229 [inlined]
[10] #test#59(::Base.Iterators.Pairs{Union{},Union{},Tuple{},NamedTuple{(),Tuple{}}}, ::typeof(Pkg.API.test), ::String) at /buildworker/worker/package_linux64/build/usr/share/julia/stdlib/v1.2/Pkg/src/API.jl:228
[11] test(::String) at /buildworker/worker/package_linux64/build/usr/share/julia/stdlib/v1.2/Pkg/src/API.jl:228
[12] top-level scope at none:10
Results with Julia v1.3.0
Testing was unsuccessful : testing failed for unknown reasons.
Last evaluation was ago and took 12 minutes.
Click here to download the log file.
Click here to show the log contents.
Resolving package versions...
Installed KernelDensity ───────────── v0.5.1
Installed Ratios ──────────────────── v0.3.1
Installed FriBidi_jll ─────────────── v1.0.5+2
Installed X11_jll ─────────────────── v1.6.8+4
Installed LZO_jll ─────────────────── v2.10.0+0
Installed Cairo ───────────────────── v1.0.0
Installed Arpack ──────────────────── v0.3.1
Installed Mamba ───────────────────── v0.12.2
Installed URIParser ───────────────── v0.4.0
Installed SortingAlgorithms ───────── v0.3.1
Installed DiffResults ─────────────── v0.0.4
Installed Cairo_jll ───────────────── v1.16.0+2
Installed Juno ────────────────────── v0.7.2
Installed DataStructures ──────────── v0.17.6
Installed Xorg_libX11_jll ─────────── v1.6.8+0
Installed Xorg_xtrans_jll ─────────── v1.4.0+0
Installed AxisAlgorithms ──────────── v1.0.0
Installed LineSearches ────────────── v7.0.1
Installed StaticArrays ────────────── v0.12.1
Installed Libgpg_error_jll ────────── v1.36.0+0
Installed FFTW ────────────────────── v1.1.0
Installed QuadGK ──────────────────── v2.1.1
Installed CategoricalArrays ───────── v0.7.3
Installed Compose ─────────────────── v0.7.3
Installed Compat ──────────────────── v2.2.0
Installed StatsFuns ───────────────── v0.9.0
Installed BinaryProvider ──────────── v0.5.8
Installed DocStringExtensions ─────── v0.8.1
Installed Pango_jll ───────────────── v1.42.4+7
Installed NLSolversBase ───────────── v7.5.0
Installed Parsers ─────────────────── v0.3.10
Installed Libuuid_jll ─────────────── v2.34.0+3
Installed IterTools ───────────────── v1.3.0
Installed Xorg_libXau_jll ─────────── v1.0.9+0
Installed Xorg_libXext_jll ────────── v1.3.4+0
Installed Missings ────────────────── v0.4.3
Installed Hexagons ────────────────── v0.2.0
Installed Distributions ───────────── v0.21.9
Installed MacroTools ──────────────── v0.5.2
Installed Pixman_jll ──────────────── v0.38.4+1
Installed Rmath ───────────────────── v0.5.1
Installed Xorg_xcb_proto_jll ──────── v1.13.0+0
Installed Gettext_jll ─────────────── v0.20.1+0
Installed PositiveFactorizations ──── v0.2.3
Installed Loess ───────────────────── v0.5.0
Installed Parameters ──────────────── v0.12.0
Installed Expat_jll ───────────────── v2.2.7+0
Installed PCRE_jll ────────────────── v8.42.0+1
Installed OrderedCollections ──────── v1.1.0
Installed Xorg_xextproto_jll ──────── v7.3.0+0
Installed Showoff ─────────────────── v0.3.1
Installed IndirectArrays ──────────── v0.5.0
Installed SpecialFunctions ────────── v0.8.0
Installed FixedPointNumbers ───────── v0.6.1
Installed Libiconv_jll ────────────── v1.16.0+0
Installed Gadfly ──────────────────── v1.0.1
Installed Xorg_renderproto_jll ────── v0.11.1+0
Installed Libgcrypt_jll ───────────── v1.8.5+0
Installed CommonSubexpressions ────── v0.2.0
Installed LightGraphs ─────────────── v1.3.0
Installed JSON ────────────────────── v0.21.0
Installed ColorTypes ──────────────── v0.8.0
Installed HarfBuzz_jll ────────────── v2.6.1+4
Installed Interpolations ──────────── v0.12.5
Installed BinDeps ─────────────────── v0.8.10
Installed Distances ───────────────── v0.8.2
Installed NaNMath ─────────────────── v0.3.3
Installed DataAPI ─────────────────── v1.1.0
Installed ForwardDiff ─────────────── v0.10.7
Installed Xorg_libXdmcp_jll ───────── v1.1.3+0
Installed Xorg_libXrender_jll ─────── v0.9.10+0
Installed Optim ───────────────────── v0.19.5
Installed DiffEqDiffTools ─────────── v1.5.0
Installed Colors ──────────────────── v0.9.6
Installed DiffRules ───────────────── v0.1.0
Installed Bzip2_jll ───────────────── v1.0.6+1
Installed Xorg_libxcb_jll ─────────── v1.13.0+0
Installed Calculus ────────────────── v0.5.1
Installed Glib_jll ────────────────── v2.59.0+1
Installed ArrayInterface ──────────── v2.0.0
Installed Xorg_kbproto_jll ────────── v1.0.7+0
Installed Conda ───────────────────── v1.3.0
Installed Graphics ────────────────── v0.4.0
Installed ArnoldiMethod ───────────── v0.0.4
Installed Requires ────────────────── v0.5.2
Installed Inflate ─────────────────── v0.1.1
Installed Graphite2_jll ───────────── v1.3.13+1
Installed XML2_jll ────────────────── v2.9.9+0
Installed VersionParsing ──────────── v1.1.3
Installed Measures ────────────────── v0.3.0
Installed XSLT_jll ────────────────── v1.1.33+0
Installed SimpleTraits ────────────── v0.9.1
Installed Xorg_xproto_jll ─────────── v7.0.31+0
Installed Libffi_jll ──────────────── v3.2.1+0
Installed Xorg_inputproto_jll ─────── v2.3.2+0
Installed Zlib_jll ────────────────── v1.2.11+7
Installed FreeType2_jll ───────────── v2.10.1+1
Installed Contour ─────────────────── v0.5.1
Installed OffsetArrays ────────────── v0.11.2
Installed libpng_jll ──────────────── v1.6.37+2
Installed Media ───────────────────── v0.5.0
Installed FillArrays ──────────────── v0.8.2
Installed Reexport ────────────────── v0.2.0
Installed WoodburyMatrices ────────── v0.4.1
Installed PDMats ──────────────────── v0.9.10
Installed StatsBase ───────────────── v0.32.0
Installed Xorg_util_macros_jll ────── v1.19.2+0
Installed CoupledFields ───────────── v0.1.0
Installed AbstractFFTs ────────────── v0.5.0
Installed Fontconfig_jll ──────────── v2.13.1+7
Installed Xorg_libpthread_stubs_jll ─ v0.1.0+0
Updating `~/.julia/environments/v1.3/Project.toml`
[5424a776] + Mamba v0.12.2
Updating `~/.julia/environments/v1.3/Manifest.toml`
[621f4979] + AbstractFFTs v0.5.0
[ec485272] + ArnoldiMethod v0.0.4
[7d9fca2a] + Arpack v0.3.1
[4fba245c] + ArrayInterface v2.0.0
[13072b0f] + AxisAlgorithms v1.0.0
[9e28174c] + BinDeps v0.8.10
[b99e7846] + BinaryProvider v0.5.8
[6e34b625] + Bzip2_jll v1.0.6+1
[159f3aea] + Cairo v1.0.0
[83423d85] + Cairo_jll v1.16.0+2
[49dc2e85] + Calculus v0.5.1
[324d7699] + CategoricalArrays v0.7.3
[3da002f7] + ColorTypes v0.8.0
[5ae59095] + Colors v0.9.6
[bbf7d656] + CommonSubexpressions v0.2.0
[34da2185] + Compat v2.2.0
[a81c6b42] + Compose v0.7.3
[8f4d0f93] + Conda v1.3.0
[d38c429a] + Contour v0.5.1
[7ad07ef1] + CoupledFields v0.1.0
[9a962f9c] + DataAPI v1.1.0
[864edb3b] + DataStructures v0.17.6
[01453d9d] + DiffEqDiffTools v1.5.0
[163ba53b] + DiffResults v0.0.4
[b552c78f] + DiffRules v0.1.0
[b4f34e82] + Distances v0.8.2
[31c24e10] + Distributions v0.21.9
[ffbed154] + DocStringExtensions v0.8.1
[2e619515] + Expat_jll v2.2.7+0
[7a1cc6ca] + FFTW v1.1.0
[1a297f60] + FillArrays v0.8.2
[53c48c17] + FixedPointNumbers v0.6.1
[a3f928ae] + Fontconfig_jll v2.13.1+7
[f6369f11] + ForwardDiff v0.10.7
[d7e528f0] + FreeType2_jll v2.10.1+1
[559328eb] + FriBidi_jll v1.0.5+2
[c91e804a] + Gadfly v1.0.1
[78b55507] + Gettext_jll v0.20.1+0
[7746bdde] + Glib_jll v2.59.0+1
[a2bd30eb] + Graphics v0.4.0
[3b182d85] + Graphite2_jll v1.3.13+1
[2e76f6c2] + HarfBuzz_jll v2.6.1+4
[a1b4810d] + Hexagons v0.2.0
[9b13fd28] + IndirectArrays v0.5.0
[d25df0c9] + Inflate v0.1.1
[a98d9a8b] + Interpolations v0.12.5
[c8e1da08] + IterTools v1.3.0
[682c06a0] + JSON v0.21.0
[e5e0dc1b] + Juno v0.7.2
[5ab0869b] + KernelDensity v0.5.1
[dd4b983a] + LZO_jll v2.10.0+0
[e9f186c6] + Libffi_jll v3.2.1+0
[d4300ac3] + Libgcrypt_jll v1.8.5+0
[7add5ba3] + Libgpg_error_jll v1.36.0+0
[94ce4f54] + Libiconv_jll v1.16.0+0
[38a345b3] + Libuuid_jll v2.34.0+3
[093fc24a] + LightGraphs v1.3.0
[d3d80556] + LineSearches v7.0.1
[4345ca2d] + Loess v0.5.0
[1914dd2f] + MacroTools v0.5.2
[5424a776] + Mamba v0.12.2
[442fdcdd] + Measures v0.3.0
[e89f7d12] + Media v0.5.0
[e1d29d7a] + Missings v0.4.3
[d41bc354] + NLSolversBase v7.5.0
[77ba4419] + NaNMath v0.3.3
[6fe1bfb0] + OffsetArrays v0.11.2
[429524aa] + Optim v0.19.5
[bac558e1] + OrderedCollections v1.1.0
[2f80f16e] + PCRE_jll v8.42.0+1
[90014a1f] + PDMats v0.9.10
[36c8627f] + Pango_jll v1.42.4+7
[d96e819e] + Parameters v0.12.0
[69de0a69] + Parsers v0.3.10
[30392449] + Pixman_jll v0.38.4+1
[85a6dd25] + PositiveFactorizations v0.2.3
[1fd47b50] + QuadGK v2.1.1
[c84ed2f1] + Ratios v0.3.1
[189a3867] + Reexport v0.2.0
[ae029012] + Requires v0.5.2
[79098fc4] + Rmath v0.5.1
[992d4aef] + Showoff v0.3.1
[699a6c99] + SimpleTraits v0.9.1
[a2af1166] + SortingAlgorithms v0.3.1
[276daf66] + SpecialFunctions v0.8.0
[90137ffa] + StaticArrays v0.12.1
[2913bbd2] + StatsBase v0.32.0
[4c63d2b9] + StatsFuns v0.9.0
[30578b45] + URIParser v0.4.0
[81def892] + VersionParsing v1.1.3
[efce3f68] + WoodburyMatrices v0.4.1
[546b0b6d] + X11_jll v1.6.8+4
[02c8fc9c] + XML2_jll v2.9.9+0
[aed1982a] + XSLT_jll v1.1.33+0
[84d6cd60] + Xorg_inputproto_jll v2.3.2+0
[060dd47b] + Xorg_kbproto_jll v1.0.7+0
[4f6342f7] + Xorg_libX11_jll v1.6.8+0
[0c0b7dd1] + Xorg_libXau_jll v1.0.9+0
[a3789734] + Xorg_libXdmcp_jll v1.1.3+0
[1082639a] + Xorg_libXext_jll v1.3.4+0
[ea2f1a96] + Xorg_libXrender_jll v0.9.10+0
[14d82f49] + Xorg_libpthread_stubs_jll v0.1.0+0
[c7cfdc94] + Xorg_libxcb_jll v1.13.0+0
[21e99dc2] + Xorg_renderproto_jll v0.11.1+0
[7c09cfe3] + Xorg_util_macros_jll v1.19.2+0
[c2e9c405] + Xorg_xcb_proto_jll v1.13.0+0
[d13bc2ba] + Xorg_xextproto_jll v7.3.0+0
[46797783] + Xorg_xproto_jll v7.0.31+0
[c5fb5394] + Xorg_xtrans_jll v1.4.0+0
[83775a58] + Zlib_jll v1.2.11+7
[b53b4c65] + libpng_jll v1.6.37+2
[2a0f44e3] + Base64
[ade2ca70] + Dates
[8bb1440f] + DelimitedFiles
[8ba89e20] + Distributed
[9fa8497b] + Future
[b77e0a4c] + InteractiveUtils
[76f85450] + LibGit2
[8f399da3] + Libdl
[37e2e46d] + LinearAlgebra
[56ddb016] + Logging
[d6f4376e] + Markdown
[a63ad114] + Mmap
[44cfe95a] + Pkg
[de0858da] + Printf
[9abbd945] + Profile
[3fa0cd96] + REPL
[9a3f8284] + Random
[ea8e919c] + SHA
[9e88b42a] + Serialization
[1a1011a3] + SharedArrays
[6462fe0b] + Sockets
[2f01184e] + SparseArrays
[10745b16] + Statistics
[4607b0f0] + SuiteSparse
[8dfed614] + Test
[cf7118a7] + UUIDs
[4ec0a83e] + Unicode
Building Arpack ──────────→ `~/.julia/packages/Arpack/cu5By/deps/build.log`
Building Conda ───────────→ `~/.julia/packages/Conda/kLXeC/deps/build.log`
Building FFTW ────────────→ `~/.julia/packages/FFTW/loJ3F/deps/build.log`
Building Rmath ───────────→ `~/.julia/packages/Rmath/4wt82/deps/build.log`
Building SpecialFunctions → `~/.julia/packages/SpecialFunctions/ne2iw/deps/build.log`
Testing Mamba
Resolving package versions...
Status `/tmp/jl_Supl7Z/Manifest.toml`
[621f4979] AbstractFFTs v0.5.0
[ec485272] ArnoldiMethod v0.0.4
[7d9fca2a] Arpack v0.3.1
[4fba245c] ArrayInterface v2.0.0
[13072b0f] AxisAlgorithms v1.0.0
[9e28174c] BinDeps v0.8.10
[b99e7846] BinaryProvider v0.5.8
[6e34b625] Bzip2_jll v1.0.6+1
[159f3aea] Cairo v1.0.0
[83423d85] Cairo_jll v1.16.0+2
[49dc2e85] Calculus v0.5.1
[324d7699] CategoricalArrays v0.7.3
[3da002f7] ColorTypes v0.8.0
[5ae59095] Colors v0.9.6
[bbf7d656] CommonSubexpressions v0.2.0
[34da2185] Compat v2.2.0
[a81c6b42] Compose v0.7.3
[8f4d0f93] Conda v1.3.0
[d38c429a] Contour v0.5.1
[7ad07ef1] CoupledFields v0.1.0
[9a962f9c] DataAPI v1.1.0
[864edb3b] DataStructures v0.17.6
[01453d9d] DiffEqDiffTools v1.5.0
[163ba53b] DiffResults v0.0.4
[b552c78f] DiffRules v0.1.0
[b4f34e82] Distances v0.8.2
[31c24e10] Distributions v0.21.9
[ffbed154] DocStringExtensions v0.8.1
[2e619515] Expat_jll v2.2.7+0
[7a1cc6ca] FFTW v1.1.0
[1a297f60] FillArrays v0.8.2
[53c48c17] FixedPointNumbers v0.6.1
[a3f928ae] Fontconfig_jll v2.13.1+7
[f6369f11] ForwardDiff v0.10.7
[d7e528f0] FreeType2_jll v2.10.1+1
[559328eb] FriBidi_jll v1.0.5+2
[c91e804a] Gadfly v1.0.1
[78b55507] Gettext_jll v0.20.1+0
[7746bdde] Glib_jll v2.59.0+1
[a2bd30eb] Graphics v0.4.0
[3b182d85] Graphite2_jll v1.3.13+1
[2e76f6c2] HarfBuzz_jll v2.6.1+4
[a1b4810d] Hexagons v0.2.0
[9b13fd28] IndirectArrays v0.5.0
[d25df0c9] Inflate v0.1.1
[a98d9a8b] Interpolations v0.12.5
[c8e1da08] IterTools v1.3.0
[682c06a0] JSON v0.21.0
[e5e0dc1b] Juno v0.7.2
[5ab0869b] KernelDensity v0.5.1
[dd4b983a] LZO_jll v2.10.0+0
[e9f186c6] Libffi_jll v3.2.1+0
[d4300ac3] Libgcrypt_jll v1.8.5+0
[7add5ba3] Libgpg_error_jll v1.36.0+0
[94ce4f54] Libiconv_jll v1.16.0+0
[38a345b3] Libuuid_jll v2.34.0+3
[093fc24a] LightGraphs v1.3.0
[d3d80556] LineSearches v7.0.1
[4345ca2d] Loess v0.5.0
[1914dd2f] MacroTools v0.5.2
[5424a776] Mamba v0.12.2
[442fdcdd] Measures v0.3.0
[e89f7d12] Media v0.5.0
[e1d29d7a] Missings v0.4.3
[d41bc354] NLSolversBase v7.5.0
[77ba4419] NaNMath v0.3.3
[6fe1bfb0] OffsetArrays v0.11.2
[429524aa] Optim v0.19.5
[bac558e1] OrderedCollections v1.1.0
[2f80f16e] PCRE_jll v8.42.0+1
[90014a1f] PDMats v0.9.10
[36c8627f] Pango_jll v1.42.4+7
[d96e819e] Parameters v0.12.0
[69de0a69] Parsers v0.3.10
[30392449] Pixman_jll v0.38.4+1
[85a6dd25] PositiveFactorizations v0.2.3
[1fd47b50] QuadGK v2.1.1
[c84ed2f1] Ratios v0.3.1
[189a3867] Reexport v0.2.0
[ae029012] Requires v0.5.2
[79098fc4] Rmath v0.5.1
[992d4aef] Showoff v0.3.1
[699a6c99] SimpleTraits v0.9.1
[a2af1166] SortingAlgorithms v0.3.1
[276daf66] SpecialFunctions v0.8.0
[90137ffa] StaticArrays v0.12.1
[2913bbd2] StatsBase v0.32.0
[4c63d2b9] StatsFuns v0.9.0
[30578b45] URIParser v0.4.0
[81def892] VersionParsing v1.1.3
[efce3f68] WoodburyMatrices v0.4.1
[546b0b6d] X11_jll v1.6.8+4
[02c8fc9c] XML2_jll v2.9.9+0
[aed1982a] XSLT_jll v1.1.33+0
[84d6cd60] Xorg_inputproto_jll v2.3.2+0
[060dd47b] Xorg_kbproto_jll v1.0.7+0
[4f6342f7] Xorg_libX11_jll v1.6.8+0
[0c0b7dd1] Xorg_libXau_jll v1.0.9+0
[a3789734] Xorg_libXdmcp_jll v1.1.3+0
[1082639a] Xorg_libXext_jll v1.3.4+0
[ea2f1a96] Xorg_libXrender_jll v0.9.10+0
[14d82f49] Xorg_libpthread_stubs_jll v0.1.0+0
[c7cfdc94] Xorg_libxcb_jll v1.13.0+0
[21e99dc2] Xorg_renderproto_jll v0.11.1+0
[7c09cfe3] Xorg_util_macros_jll v1.19.2+0
[c2e9c405] Xorg_xcb_proto_jll v1.13.0+0
[d13bc2ba] Xorg_xextproto_jll v7.3.0+0
[46797783] Xorg_xproto_jll v7.0.31+0
[c5fb5394] Xorg_xtrans_jll v1.4.0+0
[83775a58] Zlib_jll v1.2.11+7
[b53b4c65] libpng_jll v1.6.37+2
[2a0f44e3] Base64 [`@stdlib/Base64`]
[ade2ca70] Dates [`@stdlib/Dates`]
[8bb1440f] DelimitedFiles [`@stdlib/DelimitedFiles`]
[8ba89e20] Distributed [`@stdlib/Distributed`]
[9fa8497b] Future [`@stdlib/Future`]
[b77e0a4c] InteractiveUtils [`@stdlib/InteractiveUtils`]
[76f85450] LibGit2 [`@stdlib/LibGit2`]
[8f399da3] Libdl [`@stdlib/Libdl`]
[37e2e46d] LinearAlgebra [`@stdlib/LinearAlgebra`]
[56ddb016] Logging [`@stdlib/Logging`]
[d6f4376e] Markdown [`@stdlib/Markdown`]
[a63ad114] Mmap [`@stdlib/Mmap`]
[44cfe95a] Pkg [`@stdlib/Pkg`]
[de0858da] Printf [`@stdlib/Printf`]
[9abbd945] Profile [`@stdlib/Profile`]
[3fa0cd96] REPL [`@stdlib/REPL`]
[9a3f8284] Random [`@stdlib/Random`]
[ea8e919c] SHA [`@stdlib/SHA`]
[9e88b42a] Serialization [`@stdlib/Serialization`]
[1a1011a3] SharedArrays [`@stdlib/SharedArrays`]
[6462fe0b] Sockets [`@stdlib/Sockets`]
[2f01184e] SparseArrays [`@stdlib/SparseArrays`]
[10745b16] Statistics [`@stdlib/Statistics`]
[4607b0f0] SuiteSparse [`@stdlib/SuiteSparse`]
[8dfed614] Test [`@stdlib/Test`]
[cf7118a7] UUIDs [`@stdlib/UUIDs`]
[4ec0a83e] Unicode [`@stdlib/Unicode`]
Running tests:
>>> Testing ../doc/tutorial/line.jl
digraph MambaModel {
"beta" [shape="ellipse"];
"beta" -> "mu";
"y" [shape="ellipse", style="filled", fillcolor="gray85"];
"mu" [shape="diamond", style="filled", fillcolor="gray85"];
"mu" -> "y";
"s2" [shape="ellipse"];
"s2" -> "y";
"xmat" [shape="box", style="filled", fillcolor="gray85"];
"xmat" -> "mu";
}
MCMC Simulation of 10000 Iterations x 3 Chains...
Chain 1: 0% [1:23:37 of 1:23:42 remaining]
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MCMC Simulation of 10000 Iterations x 3 Chains...
Chain 1: 0% [0:01:13 of 0:01:13 remaining]
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MCMC Simulation of 10000 Iterations x 3 Chains...
Chain 1: 0% [2:09:42 of 2:09:49 remaining]
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Chain 3: 90% [0:00:00 of 0:00:00 remaining]
Chain 3: 100% [0:00:00 of 0:00:00 remaining]
Iterations = 252:10000
Thinning interval = 2
Chains = 1,2,3
Samples per chain = 4875
Gelman, Rubin, and Brooks Diagnostic:
PSRF 97.5%
s2 1.004 1.007
beta[1] 1.008 1.009
beta[2] 1.006 1.007
Multivariate 1.002 NaN
Iterations = 252:10000
Thinning interval = 2
Chains = 1,2,3
Samples per chain = 4875
Geweke Diagnostic:
First Window Fraction = 0.1
Second Window Fraction = 0.5
Z-score p-value
s2 -0.385 0.7005
beta[1] -1.437 0.1506
beta[2] 1.610 0.1073
Z-score p-value
s2 0.324 0.7460
beta[1] 1.350 0.1769
beta[2] -1.493 0.1354
Z-score p-value
s2 -0.444 0.6568
beta[1] 1.274 0.2027
beta[2] -1.678 0.0934
Iterations = 252:10000
Thinning interval = 2
Chains = 1,2,3
Samples per chain = 4875
Heidelberger and Welch Diagnostic:
Target Halfwidth Ratio = 0.1
Alpha = 0.05
Burn-in Stationarity p-value Mean Halfwidth Test
s2 2199 1 0.6066 1.15095914 0.157759205 0
beta[1] 251 1 0.1365 0.57660673 0.066788841 0
beta[2] 251 1 0.0849 0.80598853 0.018926192 1
Burn-in Stationarity p-value Mean Halfwidth Test
s2 251 1 0.9163 1.1147664 0.166389252 0
beta[1] 251 1 0.5968 0.5815833 0.063650960 0
beta[2] 251 1 0.6460 0.8032482 0.018441451 1
Burn-in Stationarity p-value Mean Halfwidth Test
s2 2199 1 0.3622 1.24456315 0.42256102 0
beta[1] 251 1 0.5198 0.62267152 0.18692753 0
beta[2] 251 1 0.5275 0.79439123 0.04836314 1
Iterations = 252:10000
Thinning interval = 2
Chains = 1,2,3
Samples per chain = 4875
Raftery and Lewis Diagnostic:
Quantile (q) = 0.025
Accuracy (r) = 0.005
Probability (s) = 0.95
Thinning Burn-in Total Nmin Dependence Factor
s2 2 253 7.7470×10³ 3746 2.0680726
beta[1] 2 279 2.9951×10⁴ 3746 7.9954618
beta[2] 4 275 2.7147×10⁴ 3746 7.2469301
Thinning Burn-in Total Nmin Dependence Factor
s2 2 257 8.8310×10³ 3746 2.3574479
beta[1] 2 269 1.9007×10⁴ 3746 5.0739455
beta[2] 4 271 2.1147×10⁴ 3746 5.6452216
Thinning Burn-in Total Nmin Dependence Factor
s2 4 267 2.1151×10⁴ 3746 5.6462894
beta[1] 2 291 4.3767×10⁴ 3746 11.6836626
beta[2] 4 283 3.6335×10⁴ 3746 9.6996797
Iterations = 252:10000
Thinning interval = 2
Chains = 1,2,3
Samples per chain = 4875
Empirical Posterior Estimates:
Mean SD Naive SE MCSE ESS
s2 1.34195938 2.26493828 0.0187287345 0.120510626 353.23364
beta[1] 0.59362053 1.25656267 0.0103904945 0.033806208 1381.57793
beta[2] 0.80120933 0.37752149 0.0031217185 0.009392822 1615.44139
Quantiles:
2.5% 25.0% 50.0% 75.0% 97.5%
s2 0.17564293 0.388954662 0.6693062 1.32134292 7.3910865
beta[1] -1.99224168 0.054476417 0.6301930 1.18120389 2.9232332
beta[2] 0.10855704 0.623902978 0.7894798 0.96728754 1.5591833
95% Lower 95% Upper
s2 0.07408963 4.4775756
beta[1] -1.75439813 3.0814022
beta[2] 0.09541722 1.5365782
s2 beta[1] beta[2]
s2 1.00000000 -0.11862474 0.09980099
beta[1] -0.11862474 1.00000000 -0.90880284
beta[2] 0.09980099 -0.90880284 1.00000000
Lag 2 Lag 10 Lag 20 Lag 100
s2 0.91347560 0.723053227 0.560237056 0.0007369812
beta[1] 0.33112180 0.029039767 -0.053065190 -0.0374799587
beta[2] 0.28410422 0.005044630 -0.040224322 -0.0357209602
Lag 2 Lag 10 Lag 20 Lag 100
s2 0.75588882 0.349531641 0.1374682700 -0.006928787
beta[1] 0.35175047 0.057134410 0.0131967370 -0.020068916
beta[2] 0.32263276 0.035103726 0.0048650670 -0.026414706
Lag 2 Lag 10 Lag 20 Lag 100
s2 0.93638308 0.80613793 0.64147781 0.160410235
beta[1] 0.59582330 0.24698778 0.18212531 0.070951705
beta[2] 0.57681437 0.21401694 0.12886571 0.035605784
Change Rate
s2 1.000
beta[1] 0.591
beta[2] 0.591
Multivariate 1.000
MCMC Processing of 4875 Iterations x 3 Chains...
Chain 1: 0% [0:04:46 of 0:04:47 remaining]
Chain 1: 10% [0:00:05 of 0:00:06 remaining]
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DIC Effective Parameters
pD 13.765813 0.95672434
pV 24.441680 6.29465778
Iterations = 1000:5000
Thinning interval = 2
Chains = 1,2,3
Samples per chain = 2001
Empirical Posterior Estimates:
Mean SD Naive SE MCSE ESS
beta[1] 0.5270595 1.4699730 0.0189725278 0.0534293539 756.93554
beta[2] 0.8211748 0.4416773 0.0057006043 0.0143178787 951.59638
Quantiles:
2.5% 25.0% 50.0% 75.0% 97.5%
beta[1] -2.584665659 -0.0011594201 0.58367672 1.12380636 3.1966005
beta[2] 0.021264304 0.6337142186 0.81011045 0.97955732 1.6932279
MCMC Simulation of 5000 Iterations x 3 Chains...
Chain 1: 0% [0:00:09 of 0:00:09 remaining]
Chain 1: 10% [0:00:02 of 0:00:03 remaining]
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Chain 3: 90% [0:00:00 of 0:00:01 remaining]
Chain 3: 100% [0:00:00 of 0:00:01 remaining]
Iterations = 252:15000
Thinning interval = 2
Chains = 1,2,3
Samples per chain = 7375
Empirical Posterior Estimates:
Mean SD Naive SE MCSE ESS
s2 1.32157705 2.0986164 0.0141088440 0.0882947137 564.93273
beta[1] 0.60144995 1.2458026 0.0083754396 0.0257509052 2340.52616
beta[2] 0.80047181 0.3753913 0.0025237281 0.0072669582 2668.47456
Quantiles:
2.5% 25.0% 50.0% 75.0% 97.5%
s2 0.17796002 0.39611210 0.68250300 1.34503801 6.8621026
beta[1] -1.97959921 0.01509525 0.63810288 1.20952328 2.9326572
beta[2] 0.09143892 0.61617835 0.79653393 0.97466715 1.5670585
Object of type "Model"
-------------------------------------------------------------------------------
beta:
A monitored node of type "2-element ArrayStochastic{1}"
[1.1902678809862768, 2.04817970778924]
-------------------------------------------------------------------------------
y:
An unmonitored node of type "5-element ArrayStochastic{1}"
[1.0, 3.0, 3.0, 3.0, 5.0]
-------------------------------------------------------------------------------
mu:
An unmonitored node of type "5-element ArrayLogical{1}"
[3.2384475887755166, 5.286627296564756, 7.334807004353996, 9.382986712143236, 11.431166419932476]
-------------------------------------------------------------------------------
xmat:
[1.0 1.0; 1.0 2.0; 1.0 3.0; 1.0 4.0; 1.0 5.0]
-------------------------------------------------------------------------------
s2:
A monitored node of type "ScalarStochastic"
0.5089331579554403
>>> Testing ../doc/samplers/amm.jl
Iterations = 1:5000
Thinning interval = 1
Chains = 1
Samples per chain = 5000
Empirical Posterior Estimates:
Mean SD Naive SE MCSE ESS
b0 0.64517314 1.24757447 0.017643367 0.077890318 256.54645
b1 0.77989321 0.39436878 0.005577217 0.027694002 202.78397
s2 1.46868477 2.71633428 0.038414768 0.178202069 232.34907
Quantiles:
2.5% 25.0% 50.0% 75.0% 97.5%
b0 -1.768364974 0.06974128 0.61720286 1.29023652 3.1789614
b1 0.010584061 0.57947874 0.78001712 0.97541858 1.5733141
s2 0.181878908 0.41367730 0.67597582 1.40504444 8.5217766
>>> Testing ../doc/samplers/amwg.jl
Iterations = 1:5000
Thinning interval = 1
Chains = 1
Samples per chain = 5000
Empirical Posterior Estimates:
Mean SD Naive SE MCSE ESS
b0 0.5983881 1.5898262 0.0224835377 0.162560986 95.645964
b1 0.8006155 0.4358909 0.0061644284 0.042038394 107.513597
s2 2.2710644 9.1262030 0.1290640007 0.686946293 176.495925
Quantiles:
2.5% 25.0% 50.0% 75.0% 97.5%
b0 -2.17471713 0.03038741 0.67912808 1.30557650 3.3496859
b1 0.03755749 0.60096712 0.77599921 0.96011511 1.7513752
s2 0.16901125 0.39945048 0.70340929 1.47274298 13.3376638
>>> Testing ../doc/samplers/bhmc.jl
Iterations = 1:10000
Thinning interval = 1
Chains = 1
Samples per chain = 10000
Empirical Posterior Estimates:
Mean SD Naive SE MCSE ESS
gamma[1] 0.5425 0.49821539 0.0049821539 0.0043794170 10000.0000
gamma[2] 1.0000 0.00000000 0.0000000000 0.0000000000 NaN
gamma[3] 0.3125 0.46353558 0.0046353558 0.0052442850 7812.5639
gamma[4] 1.0000 0.00000000 0.0000000000 0.0000000000 NaN
gamma[5] 0.7132 0.45228997 0.0045228997 0.0056726884 6357.0562
gamma[6] 0.7342 0.44178035 0.0044178035 0.0055526497 6330.1242
gamma[7] 1.0000 0.00000000 0.0000000000 0.0000000000 NaN
gamma[8] 0.5202 0.49961677 0.0049961677 0.0030648875 10000.0000
gamma[9] 0.4972 0.50001716 0.0050001716 0.0063230858 6253.3346
gamma[10] 0.7768 0.41641218 0.0041641218 0.0044537579 8741.6542
Quantiles:
2.5% 25.0% 50.0% 75.0% 97.5%
gamma[1] 0 0 1 1 1
gamma[2] 1 1 1 1 1
gamma[3] 0 0 0 1 1
gamma[4] 1 1 1 1 1
gamma[5] 0 0 1 1 1
gamma[6] 0 0 1 1 1
gamma[7] 1 1 1 1 1
gamma[8] 0 0 1 1 1
gamma[9] 0 0 0 1 1
gamma[10] 0 1 1 1 1
>>> Testing ../doc/samplers/bia.jl
Iterations = 1:10000
Thinning interval = 1
Chains = 1
Samples per chain = 10000
Empirical Posterior Estimates:
Mean SD Naive SE MCSE ESS
gamma[1] 0.6803 0.466383599 0.00466383599 0.0130286824 1281.40243
gamma[2] 0.9996 0.019996999 0.00019996999 0.0004000000 2499.24992
gamma[3] 0.0012 0.034621956 0.00034621956 0.0009458041 1339.98766
gamma[4] 0.9973 0.051893924 0.00051893924 0.0027000000 369.40731
gamma[5] 0.9978 0.046854877 0.00046854877 0.0022000000 453.59081
gamma[6] 0.9997 0.017318776 0.00017318776 0.0003000000 3332.66660
gamma[7] 0.9982 0.042390325 0.00042390325 0.0018000000 554.61102
gamma[8] 0.6932 0.461188714 0.00461188714 0.0113109226 1662.49857
gamma[9] 0.0000 0.000000000 0.00000000000 0.0000000000 NaN
gamma[10] 0.9986 0.037392243 0.00037392243 0.0014000000 713.35705
Quantiles:
2.5% 25.0% 50.0% 75.0% 97.5%
gamma[1] 0 0 1 1 1
gamma[2] 1 1 1 1 1
gamma[3] 0 0 0 0 0
gamma[4] 1 1 1 1 1
gamma[5] 1 1 1 1 1
gamma[6] 1 1 1 1 1
gamma[7] 1 1 1 1 1
gamma[8] 0 0 1 1 1
gamma[9] 0 0 0 0 0
gamma[10] 1 1 1 1 1
>>> Testing ../doc/samplers/bmc3.jl
Iterations = 1:10000
Thinning interval = 1
Chains = 1
Samples per chain = 10000
Empirical Posterior Estimates:
Mean SD Naive SE MCSE ESS
gamma[1] 0.6650 0.472014067 0.00472014067 0.016079035 861.767169
gamma[2] 0.9994 0.024488772 0.00024488772 0.000600000 1665.833250
gamma[3] 0.0066 0.080975896 0.00080975896 0.004697345 297.171117
gamma[4] 1.0000 0.000000000 0.00000000000 0.000000000 NaN
gamma[5] 0.9551 0.207094855 0.00207094855 0.020172236 105.397559
gamma[6] 0.9984 0.039969986 0.00039969986 0.001600000 624.062406
gamma[7] 0.9997 0.017318776 0.00017318776 0.000300000 3332.666600
gamma[8] 0.6763 0.467910466 0.00467910466 0.017424385 721.125084
gamma[9] 0.0443 0.205771097 0.00205771097 0.019798610 108.018801
gamma[10] 0.9595 0.197138622 0.00197138622 0.019414862 103.103834
Quantiles:
2.5% 25.0% 50.0% 75.0% 97.5%
gamma[1] 0 0 1 1 1
gamma[2] 1 1 1 1 1
gamma[3] 0 0 0 0 0
gamma[4] 1 1 1 1 1
gamma[5] 0 1 1 1 1
gamma[6] 1 1 1 1 1
gamma[7] 1 1 1 1 1
gamma[8] 0 0 1 1 1
gamma[9] 0 0 0 0 1
gamma[10] 0 1 1 1 1
Iterations = 1:10000
Thinning interval = 1
Chains = 1
Samples per chain = 10000
Empirical Posterior Estimates:
Mean SD Naive SE MCSE ESS
gamma[1] 0.6735 0.468956013 0.00468956013 0.0147486517 1011.01961
gamma[2] 1.0000 0.000000000 0.00000000000 0.0000000000 NaN
gamma[3] 0.0037 0.060718026 0.00060718026 0.0037000000 269.29720
gamma[4] 0.9989 0.033149659 0.00033149659 0.0011000000 908.18173
gamma[5] 0.9959 0.063903039 0.00063903039 0.0041000000 242.92673
gamma[6] 0.9999 0.010000000 0.00010000000 0.0001000000 10000.00000
gamma[7] 0.9998 0.014141428 0.00014141428 0.0002000000 4999.49995
gamma[8] 0.7079 0.454750778 0.00454750778 0.0161778593 790.14136
gamma[9] 0.0029 0.053776195 0.00053776195 0.0029000000 343.86197
gamma[10] 0.9997 0.017318776 0.00017318776 0.0003000000 3332.66660
Quantiles:
2.5% 25.0% 50.0% 75.0% 97.5%
gamma[1] 0 0 1 1 1
gamma[2] 1 1 1 1 1
gamma[3] 0 0 0 0 0
gamma[4] 1 1 1 1 1
gamma[5] 1 1 1 1 1
gamma[6] 1 1 1 1 1
gamma[7] 1 1 1 1 1
gamma[8] 0 0 1 1 1
gamma[9] 0 0 0 0 0
gamma[10] 1 1 1 1 1
>>> Testing ../doc/samplers/bmg.jl
Iterations = 1:10000
Thinning interval = 1
Chains = 1
Samples per chain = 10000
Empirical Posterior Estimates:
Mean SD Naive SE MCSE ESS
gamma[1] 0.6815 0.465917866 0.00465917866 0.01827698 649.84515
gamma[2] 0.9986 0.037392243 0.00037392243 0.00140000 713.35705
gamma[3] 0.0000 0.000000000 0.00000000000 0.00000000 NaN
gamma[4] 1.0000 0.000000000 0.00000000000 0.00000000 NaN
gamma[5] 0.9965 0.059060129 0.00059060129 0.00350000 284.74276
gamma[6] 0.9993 0.026449574 0.00026449574 0.00070000 1427.71420
gamma[7] 0.9998 0.014141428 0.00014141428 0.00020000 4999.49995
gamma[8] 0.7064 0.455433620 0.00455433620 0.01727585 694.97853
gamma[9] 0.0010 0.031608542 0.00031608542 0.00100000 999.09991
gamma[10] 0.9997 0.017318776 0.00017318776 0.00030000 3332.66660
Quantiles:
2.5% 25.0% 50.0% 75.0% 97.5%
gamma[1] 0 0 1 1 1
gamma[2] 1 1 1 1 1
gamma[3] 0 0 0 0 0
gamma[4] 1 1 1 1 1
gamma[5] 1 1 1 1 1
gamma[6] 1 1 1 1 1
gamma[7] 1 1 1 1 1
gamma[8] 0 0 1 1 1
gamma[9] 0 0 0 0 0
gamma[10] 1 1 1 1 1
Iterations = 1:10000
Thinning interval = 1
Chains = 1
Samples per chain = 10000
Empirical Posterior Estimates:
Mean SD Naive SE MCSE ESS
gamma[1] 0.6710 0.469873470 0.00469873470 0.020368574 532.15803
gamma[2] 0.9961 0.062331200 0.00062331200 0.003900000 255.43580
gamma[3] 0.0027 0.051893924 0.00051893924 0.002700000 369.40731
gamma[4] 0.9993 0.026449574 0.00026449574 0.000700000 1427.71420
gamma[5] 0.9955 0.066934281 0.00066934281 0.004500000 221.24435
gamma[6] 0.9935 0.080364145 0.00080364145 0.005362374 224.60040
gamma[7] 0.9981 0.043549738 0.00043549738 0.001900000 525.36833
gamma[8] 0.6999 0.458324117 0.00458324117 0.019149331 572.84644
gamma[9] 0.0000 0.000000000 0.00000000000 0.000000000 NaN
gamma[10] 0.9994 0.024488772 0.00024488772 0.000600000 1665.83325
Quantiles:
2.5% 25.0% 50.0% 75.0% 97.5%
gamma[1] 0 0 1 1 1
gamma[2] 1 1 1 1 1
gamma[3] 0 0 0 0 0
gamma[4] 1 1 1 1 1
gamma[5] 1 1 1 1 1
gamma[6] 1 1 1 1 1
gamma[7] 1 1 1 1 1
gamma[8] 0 0 1 1 1
gamma[9] 0 0 0 0 0
gamma[10] 1 1 1 1 1
>>> Testing ../doc/samplers/hmc.jl
Iterations = 1:5000
Thinning interval = 1
Chains = 1
Samples per chain = 5000
Empirical Posterior Estimates:
Mean SD Naive SE MCSE ESS
b0 0.60451952 1.1284466 0.015958645 0.025607013 1941.9776
b1 0.79549121 0.3722029 0.005263744 0.008116710 2102.8071
s2 1.46471593 11.2410048 0.158971815 0.210699467 2846.3178
Quantiles:
2.5% 25.0% 50.0% 75.0% 97.5%
b0 -1.66151491 0.046178832 0.60566725 1.18702384 2.9084773
b1 0.09630599 0.619459897 0.79984555 0.97293797 1.4893501
s2 0.18534677 0.386599719 0.65481074 1.24535336 6.6215146
Iterations = 1:5000
Thinning interval = 1
Chains = 1
Samples per chain = 5000
Empirical Posterior Estimates:
Mean SD Naive SE MCSE ESS
b0 0.6145662 1.23110198 0.0174104112 0.033448114 1354.70519
b1 0.7976376 0.37208436 0.0052620675 0.009495936 1535.34964
s2 1.9771656 10.01151208 0.1415841616 0.383226166 682.47861
Quantiles:
2.5% 25.0% 50.0% 75.0% 97.5%
b0 -1.711866552 -0.04800589 0.61048231 1.22779315 3.1735388
b1 0.046501768 0.61125795 0.79818096 0.98676983 1.4918121
s2 0.188950592 0.41020058 0.70824469 1.36110757 9.5760505
>>> Testing ../doc/samplers/mala.jl
Iterations = 1:5000
Thinning interval = 1
Chains = 1
Samples per chain = 5000
Empirical Posterior Estimates:
Mean SD Naive SE MCSE ESS
b0 0.34136194 1.21074246 0.017122484 0.151245628 64.08227
b1 0.85990983 0.36498865 0.005161719 0.042260334 74.59210
s2 1.48792963 2.39449162 0.033863225 0.233046432 105.57029
Quantiles:
2.5% 25.0% 50.0% 75.0% 97.5%
b0 -2.90386299 -0.19647056 0.45754183 0.97899976 2.4999647
b1 0.18044135 0.66474175 0.84853677 1.00663016 1.7405394
s2 0.21968329 0.48697728 0.74955479 1.36570643 7.8756131
Iterations = 1:5000
Thinning interval = 1
Chains = 1
Samples per chain = 5000
Empirical Posterior Estimates:
Mean SD Naive SE MCSE ESS
b0 0.59247178 1.09876826 0.015538930 0.129271385 72.244935
b1 0.73297426 0.37932675 0.005364490 0.044272635 73.410166
s2 1.41027533 3.04117468 0.043008705 0.245517327 153.432879
Quantiles:
2.5% 25.0% 50.0% 75.0% 97.5%
b0 -1.12842144 -0.06875475 0.40808971 0.9631630 3.4677428
b1 -0.05039977 0.57286779 0.80402089 0.9751071 1.3788077
s2 0.15904121 0.33314739 0.73421692 1.2740506 7.1310153
>>> Testing ../doc/samplers/nuts.jl
Iterations = 1001:5000
Thinning interval = 1
Chains = 1
Samples per chain = 4000
Empirical Posterior Estimates:
Mean SD Naive SE MCSE ESS
b0 0.66914226 1.0945001 0.0173055666 0.064556878 287.43960
b1 0.77648433 0.3427419 0.0054192252 0.017662785 376.54424
s2 1.51252048 3.3326882 0.0526944266 0.167702673 394.92024
Quantiles:
2.5% 25.0% 50.0% 75.0% 97.5%
b0 -1.76855918 0.15777199 0.65890810 1.2382394 2.9773537
b1 0.07726954 0.60234694 0.77860194 0.9393142 1.4817098
s2 0.20596504 0.45951879 0.76550997 1.4054256 7.5898837
>>> Testing ../doc/samplers/rwm.jl
Iterations = 1:5000
Thinning interval = 1
Chains = 1
Samples per chain = 5000
Empirical Posterior Estimates:
Mean SD Naive SE MCSE ESS
b0 0.50814446 0.95649687 0.0135269085 0.105741241 81.82355
b1 0.82845138 0.29152116 0.0041227318 0.031171455 87.46333
s2 1.09352799 1.51797233 0.0214673706 0.072343598 440.27852
Quantiles:
2.5% 25.0% 50.0% 75.0% 97.5%
b0 -1.40016641 -0.10053289 0.52105167 1.1664813 2.3420987
b1 0.27991615 0.63683768 0.81974517 1.0071005 1.4073847
s2 0.18553138 0.40129932 0.68770085 1.1990384 4.5481870
>>> Testing ../doc/samplers/slice.jl
Iterations = 1:5000
Thinning interval = 1
Chains = 1
Samples per chain = 5000
Empirical Posterior Estimates:
Mean SD Naive SE MCSE ESS
b0 0.95121197 1.39800189 0.019770732 0.16058158 75.792124
b1 0.70804449 0.38972473 0.005511540 0.04083353 91.092384
s2 1.68897644 4.98568184 0.070508189 0.41400577 145.022818
Quantiles:
2.5% 25.0% 50.0% 75.0% 97.5%
b0 -1.18134932 0.22505842 0.75133123 1.3961206 5.2902465
b1 -0.24667682 0.57032710 0.75324890 0.9190770 1.3468726
s2 0.16329786 0.38360098 0.64859723 1.3052359 10.1810850
Iterations = 1:5000
Thinning interval = 1
Chains = 1
Samples per chain = 5000
Empirical Posterior Estimates:
Mean SD Naive SE MCSE ESS
b0 0.5918173 0.97247832 0.0137529202 0.088171432 121.64775
b1 0.8010611 0.29639544 0.0041916646 0.023762408 155.58300
s2 1.1918742 2.91584961 0.0412363406 0.118877515 601.63183
Quantiles:
2.5% 25.0% 50.0% 75.0% 97.5%
b0 -1.53289453 0.06956086 0.62086125 1.12897029 2.5922503
b1 0.19746079 0.64147194 0.79976963 0.95676223 1.4487573
s2 0.16453963 0.36687076 0.61831108 1.15173238 5.9535381
>>> Testing ../doc/samplers/slicesimplex.jl
Iterations = 1:10000
Thinning interval = 1
Chains = 1
Samples per chain = 10000
Empirical Posterior Estimates:
Mean SD Naive SE MCSE ESS
rho[1] 0.07476911 0.026434234 0.00026434234 0.00058134415 2067.6015
rho[2] 0.44091967 0.052623862 0.00052623862 0.00146093979 1297.4804
rho[3] 0.09503348 0.031574733 0.00031574733 0.00055015730 3293.8637
rho[4] 0.14108488 0.035708842 0.00035708842 0.00083693491 1820.4056
rho[5] 0.24819285 0.044896094 0.00044896094 0.00132236257 1152.6993
Quantiles:
2.5% 25.0% 50.0% 75.0% 97.5%
rho[1] 0.032394429 0.055449058 0.071200329 0.09103007 0.13472478
rho[2] 0.341303914 0.404552642 0.439557468 0.47540673 0.55034653
rho[3] 0.045207588 0.072086046 0.091223859 0.11345155 0.16647836
rho[4] 0.079540280 0.115164882 0.138127751 0.16421031 0.21812832
rho[5] 0.165305802 0.216317551 0.246600090 0.27782925 0.34049218
>>> Testing ../doc/mcmc/discretediag.jl
ERROR: LoadError: LoadError: ArgumentError: Package Test not found in current path:
- Run `import Pkg; Pkg.add("Test")` to install the Test package.
Stacktrace:
[1] require(::Module, ::Symbol) at ./loading.jl:887
[2] include at ./boot.jl:328 [inlined]
[3] include_relative(::Module, ::String) at ./loading.jl:1105
[4] include(::Module, ::String) at ./Base.jl:31
[5] include(::String) at ./client.jl:424
[6] macro expansion at /root/.julia/packages/Mamba/Jotzr/test/utils.jl:5 [inlined]
[7] top-level scope at /root/.julia/packages/Mamba/Jotzr/test/runtests.jl:48
[8] include at ./boot.jl:328 [inlined]
[9] include_relative(::Module, ::String) at ./loading.jl:1105
[10] include(::Module, ::String) at ./Base.jl:31
[11] include(::String) at ./client.jl:424
[12] top-level scope at none:6
in expression starting at /root/.julia/packages/Mamba/Jotzr/doc/mcmc/discretediag.jl:1
in expression starting at /root/.julia/packages/Mamba/Jotzr/test/runtests.jl:47
ERROR: Package Mamba errored during testing
Stacktrace:
[1] pkgerror(::String, ::Vararg{String,N} where N) at /buildworker/worker/package_linux64/build/usr/share/julia/stdlib/v1.3/Pkg/src/Types.jl:113
[2] #test#131(::Bool, ::Nothing, ::Cmd, ::Cmd, ::typeof(Pkg.Operations.test), ::Pkg.Types.Context, ::Array{Pkg.Types.PackageSpec,1}) at /buildworker/worker/package_linux64/build/usr/share/julia/stdlib/v1.3/Pkg/src/Operations.jl:1370
[3] #test at ./none:0 [inlined]
[4] #test#62(::Bool, ::Nothing, ::Cmd, ::Cmd, ::Base.Iterators.Pairs{Union{},Union{},Tuple{},NamedTuple{(),Tuple{}}}, ::typeof(Pkg.API.test), ::Pkg.Types.Context, ::Array{Pkg.Types.PackageSpec,1}) at /buildworker/worker/package_linux64/build/usr/share/julia/stdlib/v1.3/Pkg/src/API.jl:253
[5] test(::Pkg.Types.Context, ::Array{Pkg.Types.PackageSpec,1}) at /buildworker/worker/package_linux64/build/usr/share/julia/stdlib/v1.3/Pkg/src/API.jl:239
[6] #test#61 at /buildworker/worker/package_linux64/build/usr/share/julia/stdlib/v1.3/Pkg/src/API.jl:233 [inlined]
[7] test at /buildworker/worker/package_linux64/build/usr/share/julia/stdlib/v1.3/Pkg/src/API.jl:233 [inlined]
[8] #test#60 at /buildworker/worker/package_linux64/build/usr/share/julia/stdlib/v1.3/Pkg/src/API.jl:232 [inlined]
[9] test at /buildworker/worker/package_linux64/build/usr/share/julia/stdlib/v1.3/Pkg/src/API.jl:232 [inlined]
[10] #test#59(::Base.Iterators.Pairs{Union{},Union{},Tuple{},NamedTuple{(),Tuple{}}}, ::typeof(Pkg.API.test), ::String) at /buildworker/worker/package_linux64/build/usr/share/julia/stdlib/v1.3/Pkg/src/API.jl:231
[11] test(::String) at /buildworker/worker/package_linux64/build/usr/share/julia/stdlib/v1.3/Pkg/src/API.jl:231
[12] top-level scope at none:10
Results with Julia v1.3.1-pre-7704df0a5a
Testing was unsuccessful : testing failed for unknown reasons.
Last evaluation was ago and took 48 seconds.
Click here to download the log file.
Click here to show the log contents.
Resolving package versions...
Installed Ratios ──────────────────── v0.3.1
Installed Expat_jll ───────────────── v2.2.7+0
Installed ColorTypes ──────────────── v0.8.0
Installed Conda ───────────────────── v1.3.0
Installed Colors ──────────────────── v0.9.6
Installed Mamba ───────────────────── v0.12.2
Installed Gadfly ──────────────────── v1.0.1
Installed LightGraphs ─────────────── v1.3.0
Installed Xorg_xproto_jll ─────────── v7.0.31+0
Installed Xorg_xextproto_jll ──────── v7.3.0+0
Installed Optim ───────────────────── v0.19.5
Installed Xorg_libpthread_stubs_jll ─ v0.1.0+0
Installed IndirectArrays ──────────── v0.5.0
Installed Graphics ────────────────── v0.4.0
Installed Xorg_inputproto_jll ─────── v2.3.2+0
Installed Xorg_libXau_jll ─────────── v1.0.9+0
Installed Xorg_libXext_jll ────────── v1.3.4+0
Installed QuadGK ──────────────────── v2.1.1
Installed Libgcrypt_jll ───────────── v1.8.5+0
Installed DataStructures ──────────── v0.17.6
Installed NaNMath ─────────────────── v0.3.3
Installed Xorg_libXdmcp_jll ───────── v1.1.3+0
Installed Hexagons ────────────────── v0.2.0
Installed X11_jll ─────────────────── v1.6.8+4
Installed SpecialFunctions ────────── v0.8.0
Installed Xorg_libX11_jll ─────────── v1.6.8+0
Installed Xorg_libXrender_jll ─────── v0.9.10+0
Installed Compat ──────────────────── v2.2.0
Installed Compose ─────────────────── v0.7.3
Installed BinDeps ─────────────────── v0.8.10
Installed StaticArrays ────────────── v0.12.1
Installed libpng_jll ──────────────── v1.6.37+2
Installed Xorg_xtrans_jll ─────────── v1.4.0+0
Installed IterTools ───────────────── v1.3.0
Installed DiffResults ─────────────── v0.0.4
Installed FixedPointNumbers ───────── v0.6.1
Installed Inflate ─────────────────── v0.1.1
Installed MacroTools ──────────────── v0.5.2
Installed StatsBase ───────────────── v0.32.0
Installed Showoff ─────────────────── v0.3.1
Installed FillArrays ──────────────── v0.8.2
Installed AxisAlgorithms ──────────── v1.0.0
Installed ForwardDiff ─────────────── v0.10.7
Installed Cairo ───────────────────── v1.0.0
Installed OffsetArrays ────────────── v0.11.2
Installed LineSearches ────────────── v7.0.1
Installed Arpack ──────────────────── v0.3.1
Installed Fontconfig_jll ──────────── v2.13.1+7
Installed Calculus ────────────────── v0.5.1
Installed URIParser ───────────────── v0.4.0
Installed FFTW ────────────────────── v1.1.0
Installed CommonSubexpressions ────── v0.2.0
Installed Missings ────────────────── v0.4.3
Installed Libgpg_error_jll ────────── v1.36.0+0
Installed StatsFuns ───────────────── v0.9.0
Installed Xorg_kbproto_jll ────────── v1.0.7+0
Installed Graphite2_jll ───────────── v1.3.13+1
Installed BinaryProvider ──────────── v0.5.8
Installed FreeType2_jll ───────────── v2.10.1+1
Installed DocStringExtensions ─────── v0.8.1
Installed HarfBuzz_jll ────────────── v2.6.1+4
Installed Xorg_util_macros_jll ────── v1.19.2+0
Installed Interpolations ──────────── v0.12.5
Installed Media ───────────────────── v0.5.0
Installed Parameters ──────────────── v0.12.0
Installed Zlib_jll ────────────────── v1.2.11+7
Installed NLSolversBase ───────────── v7.5.0
Installed Measures ────────────────── v0.3.0
Installed Rmath ───────────────────── v0.5.1
Installed Pango_jll ───────────────── v1.42.4+7
Installed DiffRules ───────────────── v0.1.0
Installed Requires ────────────────── v0.5.2
Installed LZO_jll ─────────────────── v2.10.0+0
Installed ArrayInterface ──────────── v2.0.0
Installed AbstractFFTs ────────────── v0.5.0
Installed Libiconv_jll ────────────── v1.16.0+0
Installed Distances ───────────────── v0.8.2
Installed SimpleTraits ────────────── v0.9.1
Installed PCRE_jll ────────────────── v8.42.0+1
Installed CoupledFields ───────────── v0.1.0
Installed Glib_jll ────────────────── v2.59.0+1
Installed XML2_jll ────────────────── v2.9.9+0
Installed Bzip2_jll ───────────────── v1.0.6+1
Installed KernelDensity ───────────── v0.5.1
Installed Reexport ────────────────── v0.2.0
Installed PositiveFactorizations ──── v0.2.3
Installed Distributions ───────────── v0.21.9
Installed CategoricalArrays ───────── v0.7.3
Installed Contour ─────────────────── v0.5.1
Installed WoodburyMatrices ────────── v0.4.1
Installed Xorg_xcb_proto_jll ──────── v1.13.0+0
Installed DataAPI ─────────────────── v1.1.0
Installed Libuuid_jll ─────────────── v2.34.0+3
Installed XSLT_jll ────────────────── v1.1.33+0
Installed Gettext_jll ─────────────── v0.20.1+0
Installed ArnoldiMethod ───────────── v0.0.4
Installed PDMats ──────────────────── v0.9.10
Installed JSON ────────────────────── v0.21.0
Installed Loess ───────────────────── v0.5.0
Installed OrderedCollections ──────── v1.1.0
Installed Xorg_libxcb_jll ─────────── v1.13.0+0
Installed Pixman_jll ──────────────── v0.38.4+1
Installed Parsers ─────────────────── v0.3.10
Installed Cairo_jll ───────────────── v1.16.0+2
Installed VersionParsing ──────────── v1.1.3
Installed DiffEqDiffTools ─────────── v1.5.0
Installed Xorg_renderproto_jll ────── v0.11.1+0
Installed Libffi_jll ──────────────── v3.2.1+0
Installed SortingAlgorithms ───────── v0.3.1
Installed Juno ────────────────────── v0.7.2
Installed FriBidi_jll ─────────────── v1.0.5+2
┌ Error: Tree Hash Mismatch!
│ Expected git-tree-sha1: e80d1b7446d31c7738ed51fda764944d4bf1fcbe
│ Calculated git-tree-sha1: b37f6296f6e49bb2d602909f058cefbac9cdaa6e
└ @ Pkg.Artifacts /workspace/srcdir/julia/usr/share/julia/stdlib/v1.3/Pkg/src/Artifacts.jl:775
ERROR: Unable to automatically install 'FreeType2' from '/root/.julia/packages/FreeType2_jll/BxhKx/Artifacts.toml'
Stacktrace:
[1] error(::String) at ./error.jl:33
[2] #ensure_artifact_installed#42(::Pkg.BinaryPlatforms.Linux, ::Bool, ::typeof(Pkg.Artifacts.ensure_artifact_installed), ::String, ::Dict{String,Any}, ::String) at /workspace/srcdir/julia/usr/share/julia/stdlib/v1.3/Pkg/src/Artifacts.jl:867
[3] (::Pkg.Artifacts.var"#kw##ensure_artifact_installed")(::NamedTuple{(:platform, :verbose),Tuple{Pkg.BinaryPlatforms.Linux,Bool}}, ::typeof(Pkg.Artifacts.ensure_artifact_installed), ::String, ::Dict{String,Any}, ::String) at ./none:0
[4] #ensure_all_artifacts_installed#43(::Pkg.BinaryPlatforms.Linux, ::Nothing, ::Bool, ::Bool, ::typeof(Pkg.Artifacts.ensure_all_artifacts_installed), ::String) at /workspace/srcdir/julia/usr/share/julia/stdlib/v1.3/Pkg/src/Artifacts.jl:912
[5] #ensure_all_artifacts_installed at /workspace/srcdir/julia/usr/share/julia/stdlib/v1.3/Pkg/src/Operations.jl:0 [inlined]
[6] #download_artifacts#78(::Pkg.BinaryPlatforms.Linux, ::Bool, ::typeof(Pkg.Operations.download_artifacts), ::Array{String,1}) at /workspace/srcdir/julia/usr/share/julia/stdlib/v1.3/Pkg/src/Operations.jl:580
[7] #download_artifacts at ./none:0 [inlined]
[8] #download_artifacts#73(::Pkg.BinaryPlatforms.Linux, ::Bool, ::typeof(Pkg.Operations.download_artifacts), ::Array{Pkg.Types.PackageSpec,1}) at /workspace/srcdir/julia/usr/share/julia/stdlib/v1.3/Pkg/src/Operations.jl:570
[9] (::Pkg.Operations.var"#kw##download_artifacts")(::NamedTuple{(:platform,),Tuple{Pkg.BinaryPlatforms.Linux}}, ::typeof(Pkg.Operations.download_artifacts), ::Array{Pkg.Types.PackageSpec,1}) at ./none:0
[10] #add#112(::Bool, ::Pkg.BinaryPlatforms.Linux, ::typeof(Pkg.Operations.add), ::Pkg.Types.Context, ::Array{Pkg.Types.PackageSpec,1}, ::Array{Base.UUID,1}) at /workspace/srcdir/julia/usr/share/julia/stdlib/v1.3/Pkg/src/Operations.jl:1017
[11] #add at ./none:0 [inlined]
[12] #add#25(::Bool, ::Pkg.BinaryPlatforms.Linux, ::Base.Iterators.Pairs{Union{},Union{},Tuple{},NamedTuple{(),Tuple{}}}, ::typeof(Pkg.API.add), ::Pkg.Types.Context, ::Array{Pkg.Types.PackageSpec,1}) at /workspace/srcdir/julia/usr/share/julia/stdlib/v1.3/Pkg/src/API.jl:102
[13] add(::Pkg.Types.Context, ::Array{Pkg.Types.PackageSpec,1}) at /workspace/srcdir/julia/usr/share/julia/stdlib/v1.3/Pkg/src/API.jl:72
[14] #add#24 at /workspace/srcdir/julia/usr/share/julia/stdlib/v1.3/Pkg/src/API.jl:69 [inlined]
[15] add at /workspace/srcdir/julia/usr/share/julia/stdlib/v1.3/Pkg/src/API.jl:69 [inlined]
[16] #add#21 at /workspace/srcdir/julia/usr/share/julia/stdlib/v1.3/Pkg/src/API.jl:67 [inlined]
[17] add at /workspace/srcdir/julia/usr/share/julia/stdlib/v1.3/Pkg/src/API.jl:67 [inlined]
[18] #add#20(::Base.Iterators.Pairs{Union{},Union{},Tuple{},NamedTuple{(),Tuple{}}}, ::typeof(Pkg.API.add), ::String) at /workspace/srcdir/julia/usr/share/julia/stdlib/v1.3/Pkg/src/API.jl:66
[19] add(::String) at /workspace/srcdir/julia/usr/share/julia/stdlib/v1.3/Pkg/src/API.jl:66
[20] top-level scope at none:9