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Description
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turing_model
function:turing_model(formula, data; family=Normal, priors=DefaultPriors(), standardize=false)
- Close interface with
DataFrames.jl
andCategoricalArrays.jl
using theTables.jl
API:- Reading the
length(unique(x))
of a group-level intercept/slope - Auto dummy variable (
$K - 1$ ) withcategorical
vectors by reading thelevels
and using the first level as baseline.
- Reading the
- Likelihoods:
- Linear Regression:
Gaussian
andTDist
(IdentityLink
) - Logistic Regression:
Bernoulli
- Count Data:
Poisson
andNegativeBinomial
(LogLink
)
- Linear Regression:
- Priors:
- Default Priors and Custom Priors
- Group-level effects (Hierarchical Models):
- Non-Centered Parameterization and recompute the parameter back in the
return
statement - Varying-Intercept:
(1 | group)
- Non-Centered Parameterization and recompute the parameter back in the
- Case Studies showcasing:
-
@formula
syntax - random effects: random-intercept
- likelihoods
-
CategoricalArrays.jl
andDataFrames.jl
(Tables.jl
) interfaces - Use the
{rstanarm}
datasets (check LICENSE) and thesleep
dataset from{brms}
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