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Project.toml
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Project.toml
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[deps]
BSplines = "488c2830-172b-11e9-1591-253b8a7df96d"
CSV = "336ed68f-0bac-5ca0-87d4-7b16caf5d00b"
Dagitty = "d56128e0-8113-48cd-82a0-fc808dc30d4b"
DataFrames = "a93c6f00-e57d-5684-b7b6-d8193f3e46c0"
DifferentialEquations = "0c46a032-eb83-5123-abaf-570d42b7fbaa"
Distributions = "31c24e10-a181-5473-b8eb-7969acd0382f"
FreqTables = "da1fdf0e-e0ff-5433-a45f-9bb5ff651cb1"
GLM = "38e38edf-8417-5370-95a0-9cbb8c7f171a"
IJulia = "7073ff75-c697-5162-941a-fcdaad2a7d2a"
KernelDensity = "5ab0869b-81aa-558d-bb23-cbf5423bbe9b"
LaTeXStrings = "b964fa9f-0449-5b57-a5c2-d3ea65f4040f"
Optim = "429524aa-4258-5aef-a3af-852621145aeb"
PDMats = "90014a1f-27ba-587c-ab20-58faa44d9150"
ParetoSmooth = "a68b5a21-f429-434e-8bfa-46b447300aac"
ParetoSmoothedImportanceSampling = "98f080ec-61e2-11eb-1c7b-31ea1097256f"
Plots = "91a5bcdd-55d7-5caf-9e0b-520d859cae80"
ProgressBars = "49802e3a-d2f1-5c88-81d8-b72133a6f568"
RDatasets = "ce6b1742-4840-55fa-b093-852dadbb1d8b"
StatisticalRethinking = "2d09df54-9d0f-5258-8220-54c2a3d4fbee"
StatisticalRethinkingPlots = "e1a513d0-d9d9-49ff-a6dd-9d2e9db473da"
StatsBase = "2913bbd2-ae8a-5f71-8c99-4fb6c76f3a91"
StatsFuns = "4c63d2b9-4356-54db-8cca-17b64c39e42c"
StatsPlots = "f3b207a7-027a-5e70-b257-86293d7955fd"
Turing = "fce5fe82-541a-59a6-adf8-730c64b5f9a0"