Project.toml

[deps]
CSV = "336ed68f-0bac-5ca0-87d4-7b16caf5d00b"
CairoMakie = "13f3f980-e62b-5c42-98c6-ff1f3baf88f0"
DataFrames = "a93c6f00-e57d-5684-b7b6-d8193f3e46c0"
Distributions = "31c24e10-a181-5473-b8eb-7969acd0382f"
Downloads = "f43a241f-c20a-4ad4-852c-f6b1247861c6"
Franklin = "713c75ef-9fc9-4b05-94a9-213340da978e"
HypothesisTests = "09f84164-cd44-5f33-b23f-e6b0d136a0d5"
IJulia = "7073ff75-c697-5162-941a-fcdaad2a7d2a"
LinearAlgebra = "37e2e46d-f89d-539d-b4ee-838fcccc9c8e"
Literate = "98b081ad-f1c9-55d3-8b20-4c87d4299306"
ModelingToolkit = "961ee093-0014-501f-94e3-6117800e7a78"
Neuroblox = "769b91e5-4c60-41ee-bfae-153c84203cb2"
NodeJS = "2bd173c7-0d6d-553b-b6af-13a54713934c"
OrderedCollections = "bac558e1-5e72-5ebc-8fee-abe8a469f55d"
OrdinaryDiffEq = "1dea7af3-3e70-54e6-95c3-0bf5283fa5ed"
Random = "9a3f8284-a2c9-5f02-9a11-845980a1fd5c"
SparseArrays = "2f01184e-e22b-5df5-ae63-d93ebab69eaf"
Statistics = "10745b16-79ce-11e8-11f9-7d13ad32a3b2"
StochasticDiffEq = "789caeaf-c7a9-5a7d-9973-96adeb23e2a0"