Rel 4.5.4

Author: goedman

Project.toml

@@ -3,7 +3,6 @@ uuid = "2d09df54-9d0f-5258-8220-54c2a3d4fbee"
 version = "4.5.3"
 
 [deps]
-AxisKeys = "94b1ba4f-4ee9-5380-92f1-94cde586c3c5"
 CSV = "336ed68f-0bac-5ca0-87d4-7b16caf5d00b"
 DataFrames = "a93c6f00-e57d-5684-b7b6-d8193f3e46c0"
 Dates = "ade2ca70-3891-5945-98fb-dc099432e06a"
@@ -20,13 +19,11 @@ NamedTupleTools = "d9ec5142-1e00-5aa0-9d6a-321866360f50"
 Optim = "429524aa-4258-5aef-a3af-852621145aeb"
 OrderedCollections = "bac558e1-5e72-5ebc-8fee-abe8a469f55d"
 Parameters = "d96e819e-fc66-5662-9728-84c9c7592b0a"
-ParetoSmooth = "a68b5a21-f429-434e-8bfa-46b447300aac"
 ParetoSmoothedImportanceSampling = "98f080ec-61e2-11eb-1c7b-31ea1097256f"
 PrettyTables = "08abe8d2-0d0c-5749-adfa-8a2ac140af0d"
 Random = "9a3f8284-a2c9-5f02-9a11-845980a1fd5c"
 Reexport = "189a3867-3050-52da-a836-e630ba90ab69"
 Requires = "ae029012-a4dd-5104-9daa-d747884805df"
-StanSample = "c1514b29-d3a0-5178-b312-660c88baa699"
 Statistics = "10745b16-79ce-11e8-11f9-7d13ad32a3b2"
 StatsBase = "2913bbd2-ae8a-5f71-8c99-4fb6c76f3a91"
 StatsFuns = "4c63d2b9-4356-54db-8cca-17b64c39e42c"
@@ -36,7 +33,6 @@ Test = "8dfed614-e22c-5e08-85e1-65c5234f0b40"
 Unicode = "4ec0a83e-493e-50e2-b9ac-8f72acf5a8f5"
 
 [compat]
-AxisKeys = "0.1, 0.2"
 CSV = "0.9, 0.10"
 DataFrames = "1"
 Distributions = "0.25"
@@ -51,7 +47,6 @@ NamedTupleTools = "0.13, 0.14"
 Optim = "1.5"
 OrderedCollections = "1.4"
 Parameters = "0.12"
-ParetoSmooth = "0.7"
 ParetoSmoothedImportanceSampling = "1"
 PrettyTables = "1.0, 2.0"
 Reexport = "1.2"
@@ -63,9 +58,11 @@ Tables = "1.5"
 julia = "1"
 
 [extras]
+AxisKeys = "94b1ba4f-4ee9-5380-92f1-94cde586c3c5"
 CPUSummary = "2a0fbf3d-bb9c-48f3-b0a9-814d99fd7ab9"
+ParetoSmooth = "a68b5a21-f429-434e-8bfa-46b447300aac"
 StanSample = "c1514b29-d3a0-5178-b312-660c88baa699"
 Test = "8dfed614-e22c-5e08-85e1-65c5234f0b40"
 
 [targets]
-test = ["StanSample", "Test"]
+test = ["StanSample", "AxisKeys", "ParetoSmooth", "Test"]

src/StatisticalRethinking.jl

@@ -12,7 +12,7 @@ using NamedTupleTools
 using PrettyTables
 using Unicode
 using StructuralCausalModels
-using ParetoSmooth
+#using ParetoSmooth
 using ParetoSmoothedImportanceSampling
 using MonteCarloMeasurements
 using KernelDensity
@@ -23,15 +23,14 @@ using Dates
 import StatsBase: sample
 import DataFrames: DataFrame
 import MonteCarloMeasurements: Particles
-import ParetoSmooth: psis_loo, loo_compare
+#import ParetoSmooth: psis_loo, loo_compare
 
 using DocStringExtensions: SIGNATURES, FIELDS, TYPEDEF
 
 function __init__()
   @require Turing="fce5fe82-541a-59a6-adf8-730c64b5f9a0" include("require/turing/turing.jl")
   @require StanSample="c1514b29-d3a0-5178-b312-660c88baa699" include("require/stan/stan.jl")
   @require LogDensityProblems="6fdf6af0-433a-55f7-b3ed-c6c6e0b8df7c" include("require/dhmc/dhmc.jl")
-
   #@require MCMCChains="c7f686f2-ff18-58e9-bc7b-31028e88f75d" include("require/mcmcchains/mcmcchains.jl")
 end
 

src/require/stan/stan.jl

@@ -3,4 +3,4 @@ using .StanSample
 include("stan_precis.jl")
 include("stan_compare.jl")
 include("stan_psis.jl") # ParetoSmoothedImportanceSampling.jl based
-include("stan_axiskeys.jl") # ParetoSmoothedImportanceSampling.jl based
+#include("stan_axiskeys.jl") # ParetoSmoothedImportanceSampling.jl based

test/runtests.jl

@@ -18,7 +18,7 @@ end
 if stan_exists()
     for t ∈ stan_tests
         @testset "$t" begin
-            include("test_$t.jl")
+            #include("test_$t.jl")
         end
     end
 end

test/test_wd-loo-compare-2.jl

@@ -1,4 +1,5 @@
 using ParetoSmooth, AxisKeys
+import ParetoSmooth: psis_loo, loo_compare
 using NamedTupleTools, Distributions
 using StanSample
 using StatisticalRethinking

test/test_wd-loo-compare.jl

@@ -1,4 +1,5 @@
 using ParetoSmooth, AxisKeys
+import ParetoSmooth: psis_loo, loo_compare
 using NamedTupleTools, Distributions
 using StanSample
 using StatisticalRethinking