Project.toml

name = "Metida"
uuid = "a1dec852-9fe5-11e9-361f-8d9fde67cfa2"
keywords = ["lenearmodel", "mixedmodel"]
desc = "Mixed-effects models with flexible covariance structure."
authors = ["Vladimir Arnautov <mail@pharmcat.net>"]
version = "0.16.2"

[deps]
DiffResults = "163ba53b-c6d8-5494-b064-1a9d43ac40c5"
Distributions = "31c24e10-a181-5473-b8eb-7969acd0382f"
ForwardDiff = "f6369f11-7733-5829-9624-2563aa707210"
LinearAlgebra = "37e2e46d-f89d-539d-b4ee-838fcccc9c8e"
LineSearches = "d3d80556-e9d4-5f37-9878-2ab0fcc64255"
MetidaBase = "075456b7-4006-432f-9324-2f8453996c49"
Optim = "429524aa-4258-5aef-a3af-852621145aeb"
ProgressMeter = "92933f4c-e287-5a05-a399-4b506db050ca"
Random = "9a3f8284-a2c9-5f02-9a11-845980a1fd5c"
StatsBase = "2913bbd2-ae8a-5f71-8c99-4fb6c76f3a91"
StatsModels = "3eaba693-59b7-5ba5-a881-562e759f1c8d"

[compat]
DiffResults = "1"
Distributions = "0.21, 0.22, 0.23, 0.24, 0.25"
ForwardDiff = "0.10"
LineSearches = "7"
MetidaBase = "0.11, 0.12"
Optim = "1"
ProgressMeter = "1"
StatsBase = "0.30, 0.31, 0.32, 0.33, 0.34"
StatsModels = "0.7"
julia = "1"

[extras]
CategoricalArrays = "324d7699-5711-5eae-9e2f-1d82baa6b597"
CSV = "336ed68f-0bac-5ca0-87d4-7b16caf5d00b"
DataFrames = "a93c6f00-e57d-5684-b7b6-d8193f3e46c0"
Random = "9a3f8284-a2c9-5f02-9a11-845980a1fd5c"
StableRNGs = "860ef19b-820b-49d6-a774-d7a799459cd3"
StatsBase = "2913bbd2-ae8a-5f71-8c99-4fb6c76f3a91"
Test = "8dfed614-e22c-5e08-85e1-65c5234f0b40"

[targets]
test = ["CategoricalArrays", "CSV", "DataFrames", "Random", "StableRNGs", "StatsBase", "Test"]