Project.toml

[deps]
BenchmarkTools = "6e4b80f9-dd63-53aa-95a3-0cdb28fa8baf"
BridgeStan = "c88b6f0a-829e-4b0b-94b7-f06ab5908f5a"
CSV = "336ed68f-0bac-5ca0-87d4-7b16caf5d00b"
CUDA = "052768ef-5323-5732-b1bb-66c8b64840ba"
DataFrames = "a93c6f00-e57d-5684-b7b6-d8193f3e46c0"
Dates = "ade2ca70-3891-5945-98fb-dc099432e06a"
Distributions = "31c24e10-a181-5473-b8eb-7969acd0382f"
Enzyme = "7da242da-08ed-463a-9acd-ee780be4f1d9"
Glob = "c27321d9-0574-5035-807b-f59d2c89b15c"
InferenceReport = "e5554034-be14-491c-aa1c-9e5f4a9f7142"
JSON = "682c06a0-de6a-54ab-a142-c8b1cf79cde6"
LogDensityProblems = "6fdf6af0-433a-55f7-b3ed-c6c6e0b8df7c"
PProf = "e4faabce-9ead-11e9-39d9-4379958e3056"
Pigeons = "0eb8d820-af6a-4919-95ae-11206f830c31"
Profile = "9abbd945-dff8-562f-b5e8-e1ebf5ef1b79"
ProfileCanvas = "efd6af41-a80b-495e-886c-e51b0c7d77a3"
ProfileView = "c46f51b8-102a-5cf2-8d2c-8597cb0e0da7"
Random = "9a3f8284-a2c9-5f02-9a11-845980a1fd5c"
ReverseDiff = "37e2e3b7-166d-5795-8a7a-e32c996b4267"
ScikitLearn = "3646fa90-6ef7-5e7e-9f22-8aca16db6324"
StatsFuns = "4c63d2b9-4356-54db-8cca-17b64c39e42c"
StringEncodings = "69024149-9ee7-55f6-a4c4-859efe599b68"
Turing = "fce5fe82-541a-59a6-adf8-730c64b5f9a0"
Zygote = "e88e6eb3-aa80-5325-afca-941959d7151f"