Project.toml

[deps]
AbstractMCMC = "80f14c24-f653-4e6a-9b94-39d6b0f70001"
BSON = "fbb218c0-5317-5bc6-957e-2ee96dd4b1f0"
BenchmarkTools = "6e4b80f9-dd63-53aa-95a3-0cdb28fa8baf"
BoundaryValueDiffEq = "764a87c0-6b3e-53db-9096-fe964310641d"
CSV = "336ed68f-0bac-5ca0-87d4-7b16caf5d00b"
CategoricalArrays = "324d7699-5711-5eae-9e2f-1d82baa6b597"
DataFrames = "a93c6f00-e57d-5684-b7b6-d8193f3e46c0"
DiffEqFlux = "aae7a2af-3d4f-5e19-a356-7da93b79d9d0"
DifferentialEquations = "0c46a032-eb83-5123-abaf-570d42b7fbaa"
Distributed = "8ba89e20-285c-5b6f-9357-94700520ee1b"
Distributions = "31c24e10-a181-5473-b8eb-7969acd0382f"
FLoops = "cc61a311-1640-44b5-9fba-1b764f453329"
Flux = "587475ba-b771-5e3f-ad9e-33799f191a9c"
ForwardDiff = "f6369f11-7733-5829-9624-2563aa707210"
GalacticOptim = "a75be94c-b780-496d-a8a9-0878b188d577"
Interpolations = "a98d9a8b-a2ab-59e6-89dd-64a1c18fca59"
JLD = "4138dd39-2aa7-5051-a626-17a0bb65d9c8"
Optim = "429524aa-4258-5aef-a3af-852621145aeb"
OrdinaryDiffEq = "1dea7af3-3e70-54e6-95c3-0bf5283fa5ed"
PlotlyBase = "a03496cd-edff-5a9b-9e67-9cda94a718b5"
PlotlyJS = "f0f68f2c-4968-5e81-91da-67840de0976a"
Plots = "91a5bcdd-55d7-5caf-9e0b-520d859cae80"
PyPlot = "d330b81b-6aea-500a-939a-2ce795aea3ee"
StaticArrays = "90137ffa-7385-5640-81b9-e52037218182"
Statistics = "10745b16-79ce-11e8-11f9-7d13ad32a3b2"
StatsPlots = "f3b207a7-027a-5e70-b257-86293d7955fd"
Test = "8dfed614-e22c-5e08-85e1-65c5234f0b40"
Turing = "fce5fe82-541a-59a6-adf8-730c64b5f9a0"
UnicodePlots = "b8865327-cd53-5732-bb35-84acbb429228"
UpdateJulia = "770da0de-323d-4d28-9202-0e205c1e0aff"
Zygote = "e88e6eb3-aa80-5325-afca-941959d7151f"