content: 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 = "7.5.0"
  
  [deps]
  AbstractMCMC = "80f14c24-f653-4e6a-9b94-39d6b0f70001"
  AxisArrays = "39de3d68-74b9-583c-8d2d-e117c070f3a9"
  DataAPI = "9a962f9c-6df0-11e9-0e5d-c546b8b5ee8a"
  Dates = "ade2ca70-3891-5945-98fb-dc099432e06a"
  Distributions = "31c24e10-a181-5473-b8eb-7969acd0382f"
  IteratorInterfaceExtensions = "82899510-4779-5014-852e-03e436cf321d"
  KernelDensity = "5ab0869b-81aa-558d-bb23-cbf5423bbe9b"
  LinearAlgebra = "37e2e46d-f89d-539d-b4ee-838fcccc9c8e"
  MCMCDiagnosticTools = "be115224-59cd-429b-ad48-344e309966f0"
  MLJModelInterface = "e80e1ace-859a-464e-9ed9-23947d8ae3ea"
  NaturalSort = "c020b1a1-e9b0-503a-9c33-f039bfc54a85"
  OrderedCollections = "bac558e1-5e72-5ebc-8fee-abe8a469f55d"
  PrettyTables = "08abe8d2-0d0c-5749-adfa-8a2ac140af0d"
  Random = "9a3f8284-a2c9-5f02-9a11-845980a1fd5c"
  RecipesBase = "3cdcf5f2-1ef4-517c-9805-6587b60abb01"
  Statistics = "10745b16-79ce-11e8-11f9-7d13ad32a3b2"
  StatsBase = "2913bbd2-ae8a-5f71-8c99-4fb6c76f3a91"
  StatsFuns = "4c63d2b9-4356-54db-8cca-17b64c39e42c"
  TableTraits = "3783bdb8-4a98-5b6b-af9a-565f29a5fe9c"
  Tables = "bd369af6-aec1-5ad0-b16a-f7cc5008161c"
  
  [compat]
  AbstractMCMC = "0.4, 0.5, 1.0, 2.0, 3.0, 4, 5"
  AxisArrays = "0.4.4"
  DataAPI = "1.16.0"
  Dates = "<0.0.1, 1"
  Distributions = "0.21, 0.22, 0.23, 0.24, 0.25"
  IteratorInterfaceExtensions = "0.1.1, 1"
  KernelDensity = "0.6.2"
  LinearAlgebra = "<0.0.1, 1"
  MCMCDiagnosticTools = "0.3"
  MLJModelInterface = "0.3.5, 0.4, 1.0"
  NaturalSort = "1"
  OrderedCollections = "1.4"
  PrettyTables = "0.9, 0.10, 0.11, 0.12, 1, 2"
  Random = "<0.0.1, 1"
  RecipesBase = "0.7, 0.8, 1.0"
  Statistics = "<0.0.1, 1"
  StatsBase = "0.33.2, 0.34"
  StatsFuns = "0.8, 0.9, 1"
  TableTraits = "0.4, 1"
  Tables = "1"
  julia = "1.6.3"
  