Contributors
priorDB
Models
Regression
Overview
Continuous outcome
Unbounded
Normal model
Student-t model
Bounded
Beta model
Discrete outcome
Binary
Bernoulli model
Count
Poisson model
Negative-binomial model
Binomial model
Categorical
Categorical model
Ordered
Ordered logistic model
Sparsity priors
Generalised R2
R2-D2
Regularised horse shoe
L1 Ball
Autoregression
Overview
ARR2
Minnesota
Hierarchical regression
Overview
R2D2M2
External resources
Software Tools
Stan prior guide
Contributors
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Contributors
Noa Kallioinen
Osvaldo A Martin
Andrew Johnson
Stan prior guide
