Project.toml

[deps]
BenchmarkTools = "6e4b80f9-dd63-53aa-95a3-0cdb28fa8baf"
Cairo = "159f3aea-2a34-519c-b102-8c37f9878175"
CategoricalArrays = "324d7699-5711-5eae-9e2f-1d82baa6b597"
DSP = "717857b8-e6f2-59f4-9121-6e50c889abd2"
DifferentialEquations = "0c46a032-eb83-5123-abaf-570d42b7fbaa"
Distributions = "31c24e10-a181-5473-b8eb-7969acd0382f"
FFTW = "7a1cc6ca-52ef-59f5-83cd-3a7055c09341"
Fontconfig = "186bb1d3-e1f7-5a2c-a377-96d770f13627"
Gadfly = "c91e804a-d5a3-530f-b6f0-dfbca275c004"
KernelDensity = "5ab0869b-81aa-558d-bb23-cbf5423bbe9b"
KernelDensityEstimate = "2472808a-b354-52ea-a80e-1658a3c6056d"
LatinHypercubeSampling = "a5e1c1ea-c99a-51d3-a14d-a9a37257b02d"
NumericalIntegration = "e7bfaba1-d571-5449-8927-abc22e82249b"
Plots = "91a5bcdd-55d7-5caf-9e0b-520d859cae80"
PyPlot = "d330b81b-6aea-500a-939a-2ce795aea3ee"
RDatasets = "ce6b1742-4840-55fa-b093-852dadbb1d8b"
StatsBase = "2913bbd2-ae8a-5f71-8c99-4fb6c76f3a91"
StatsPlots = "f3b207a7-027a-5e70-b257-86293d7955fd"
Trapz = "592b5752-818d-11e9-1e9a-2b8ca4a44cd1"