Project.toml

name = "MealModel"
uuid = "669c76bc-767f-4084-a0ab-e2cae41b1e42"
authors = ["Max de Rooij"]
version = "1.0.0-DEV"

[deps]
CSV = "336ed68f-0bac-5ca0-87d4-7b16caf5d00b"
ComponentArrays = "b0b7db55-cfe3-40fc-9ded-d10e2dbeff66"
DataFrames = "a93c6f00-e57d-5684-b7b6-d8193f3e46c0"
LatinHypercubeSampling = "a5e1c1ea-c99a-51d3-a14d-a9a37257b02d"
LineSearches = "d3d80556-e9d4-5f37-9878-2ab0fcc64255"
Optimization = "7f7a1694-90dd-40f0-9382-eb1efda571ba"
OptimizationOptimJL = "36348300-93cb-4f02-beb5-3c3902f8871e"
OrdinaryDiffEq = "1dea7af3-3e70-54e6-95c3-0bf5283fa5ed"
Plots = "91a5bcdd-55d7-5caf-9e0b-520d859cae80"
Random = "9a3f8284-a2c9-5f02-9a11-845980a1fd5c"
Revise = "295af30f-e4ad-537b-8983-00126c2a3abe"
SafeTestsets = "1bc83da4-3b8d-516f-aca4-4fe02f6d838f"
SciMLBase = "0bca4576-84f4-4d90-8ffe-ffa030f20462"
SciMLSensitivity = "1ed8b502-d754-442c-8d5d-10ac956f44a1"
SpecialFunctions = "276daf66-3868-5448-9aa4-cd146d93841b"
Test = "8dfed614-e22c-5e08-85e1-65c5234f0b40"
Trapz = "592b5752-818d-11e9-1e9a-2b8ca4a44cd1"