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Project.toml
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name = "MCMCChains"
uuid = "c7f686f2-ff18-58e9-bc7b-31028e88f75d"
keywords = ["markov chain monte carlo", "probablistic programming"]
license = "MIT"
desc = "Chain types and utility functions for MCMC simulations."
version = "4.2.4"
[deps]
AbstractFFTs = "621f4979-c628-5d54-868e-fcf4e3e8185c"
AbstractMCMC = "80f14c24-f653-4e6a-9b94-39d6b0f70001"
AxisArrays = "39de3d68-74b9-583c-8d2d-e117c070f3a9"
Compat = "34da2185-b29b-5c13-b0c7-acf172513d20"
Distributions = "31c24e10-a181-5473-b8eb-7969acd0382f"
Formatting = "59287772-0a20-5a39-b81b-1366585eb4c0"
IteratorInterfaceExtensions = "82899510-4779-5014-852e-03e436cf321d"
LinearAlgebra = "37e2e46d-f89d-539d-b4ee-838fcccc9c8e"
MLJModelInterface = "e80e1ace-859a-464e-9ed9-23947d8ae3ea"
NaturalSort = "c020b1a1-e9b0-503a-9c33-f039bfc54a85"
PrettyTables = "08abe8d2-0d0c-5749-adfa-8a2ac140af0d"
Random = "9a3f8284-a2c9-5f02-9a11-845980a1fd5c"
RecipesBase = "3cdcf5f2-1ef4-517c-9805-6587b60abb01"
Serialization = "9e88b42a-f829-5b0c-bbe9-9e923198166b"
SpecialFunctions = "276daf66-3868-5448-9aa4-cd146d93841b"
Statistics = "10745b16-79ce-11e8-11f9-7d13ad32a3b2"
StatsBase = "2913bbd2-ae8a-5f71-8c99-4fb6c76f3a91"
TableTraits = "3783bdb8-4a98-5b6b-af9a-565f29a5fe9c"
Tables = "bd369af6-aec1-5ad0-b16a-f7cc5008161c"
[compat]
AbstractFFTs = "0.5"
AbstractMCMC = "0.4, 0.5, 1.0, 2.0"
AxisArrays = "0.4.2"
Compat = "2.2, 3"
Distributions = "0.21, 0.22, 0.23, 0.24"
Formatting = "0.4"
IteratorInterfaceExtensions = "0.1.1, 1"
MLJModelInterface = "0.3.5"
NaturalSort = "1"
PrettyTables = "^0.9"
RecipesBase = "0.7, 0.8, 1.0"
SpecialFunctions = "^0.8, 0.9, 0.10"
StatsBase = "0.32, 0.33"
TableTraits = "0.4, 1"
Tables = "1"
julia = "1"
[extras]
DataFrames = "a93c6f00-e57d-5684-b7b6-d8193f3e46c0"
FFTW = "7a1cc6ca-52ef-59f5-83cd-3a7055c09341"
KernelDensity = "5ab0869b-81aa-558d-bb23-cbf5423bbe9b"
Logging = "56ddb016-857b-54e1-b83d-db4d58db5568"
MLJModels = "d491faf4-2d78-11e9-2867-c94bc002c0b7"
StatsPlots = "f3b207a7-027a-5e70-b257-86293d7955fd"
Test = "8dfed614-e22c-5e08-85e1-65c5234f0b40"
UnicodePlots = "b8865327-cd53-5732-bb35-84acbb429228"
XGBoost = "009559a3-9522-5dbb-924b-0b6ed2b22bb9"
[targets]
test = ["DataFrames", "FFTW", "KernelDensity", "Logging", "StatsPlots", "Test", "UnicodePlots", "MLJModels", "XGBoost"]