StatisticalProcessMonitoring.jl/Project.toml at 2f790f320a84804796cf9a038a43f67ca0afe994 · DedZago/StatisticalProcessMonitoring.jl · GitHub

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name = "StatisticalProcessMonitoring"
uuid = "5c25986e-1fdd-4016-bfbf-d983868d020f"
authors = ["Daniele Zago <[email protected]>"]
version = "0.1.3"

[deps]
DataFrames = "a93c6f00-e57d-5684-b7b6-d8193f3e46c0"
Distributions = "31c24e10-a181-5473-b8eb-7969acd0382f"
GLM = "38e38edf-8417-5370-95a0-9cbb8c7f171a"
LinearAlgebra = "37e2e46d-f89d-539d-b4ee-838fcccc9c8e"
Parameters = "d96e819e-fc66-5662-9728-84c9c7592b0a"
Random = "9a3f8284-a2c9-5f02-9a11-845980a1fd5c"
Statistics = "10745b16-79ce-11e8-11f9-7d13ad32a3b2"
StatsBase = "2913bbd2-ae8a-5f71-8c99-4fb6c76f3a91"

[weakdeps]
NLopt = "76087f3c-5699-56af-9a33-bf431cd00edd"
Plots = "91a5bcdd-55d7-5caf-9e0b-520d859cae80"

[extensions]
NLoptSPM = "NLopt"
PlottingSPM = "Plots"

[compat]
DataFrames = "1.6.1"
Distributions = "<0.25.102, 0.25"
GLM = "1.9.0"
Parameters = "<0.12.4"
StatsBase = "<0.34.3, 0.34"
julia = "1.9"

[extras]
NLopt = "76087f3c-5699-56af-9a33-bf431cd00edd"
Plots = "91a5bcdd-55d7-5caf-9e0b-520d859cae80"
Test = "8dfed614-e22c-5e08-85e1-65c5234f0b40"

[targets]
test = ["Test"]