Project.toml

name = "MetidaBioeq"
uuid = "00e1d80e-504f-4d7b-946f-0aea2e7abfe3"
keywords = ["bioequivalence"]
desc = "Bioequivalence"
authors = ["Vladimir Arnautov <mail@pharmcat.net>"]
version = "0.2.7"

[deps]
CategoricalArrays = "324d7699-5711-5eae-9e2f-1d82baa6b597"
DataFrames = "a93c6f00-e57d-5684-b7b6-d8193f3e46c0"
Distributions = "31c24e10-a181-5473-b8eb-7969acd0382f"
GLM = "38e38edf-8417-5370-95a0-9cbb8c7f171a"
Metida = "a1dec852-9fe5-11e9-361f-8d9fde67cfa2"
MetidaBase = "075456b7-4006-432f-9324-2f8453996c49"
MetidaNCA = "097c2839-c7bc-4c4b-a5f2-b4167c1b4e7c"
MixedModels = "ff71e718-51f3-5ec2-a782-8ffcbfa3c316"
StatsBase = "2913bbd2-ae8a-5f71-8c99-4fb6c76f3a91"

[compat]
CategoricalArrays = "0.10"
DataFrames = "1"
Distributions = "0.21, 0.22, 0.23, 0.24, 0.25"
GLM = "1.8"
Metida = "0.15"
MetidaBase = "0.12"
MetidaNCA = "0.5"
MixedModels = "4"
StatsBase = "0.30, 0.31, 0.32, 0.33, 0.34"
julia = "1"

[extras]
CategoricalArrays = "324d7699-5711-5eae-9e2f-1d82baa6b597"
CSV = "336ed68f-0bac-5ca0-87d4-7b16caf5d00b"
DataFrames = "a93c6f00-e57d-5684-b7b6-d8193f3e46c0"
Test = "8dfed614-e22c-5e08-85e1-65c5234f0b40"
StatsModels = "3eaba693-59b7-5ba5-a881-562e759f1c8d"

[targets]
test = ["CategoricalArrays", "CSV", "DataFrames", "Test", "StatsModels"]