Usage
brm.pars(formula, data = NULL, family = "gaussian", autocor = NULL,
partial = NULL, threshold = "flexible", ranef = TRUE, WAIC = FALSE,
predict = FALSE)
Arguments
formula
An object of class "formula" (or one that can be coerced to that class): a symbolic description of the model to be fitted.
The details of model specification are given under 'Details'.
data
An optional data frame, list or environment (or object coercible by as.data.frame to a data frame) containing
the variables in the model. If not found in data, the variables are taken from environment(formula),
typically the e
family
A vector of one or two character strings. The first string indicates the distribution of the dependent variable (the 'family'). Currently, the following families are supported:
"gaussian", "student", "cauchy",
autocor
An optional cor.brms object describing the correlation structure within the response variable (i.e. the 'autocorrelation').
See the documentation of cor.brms partial
A one sided formula of the form ~partial.effects specifing the predictors that can vary between categories in non-cumulative ordinal models
(i.e. in families "cratio", "sratio", or "acat").
threshold
A character string indicating the type of thresholds (i.e. intercepts) used in an ordinal model.
"flexible" provides the standard unstructured thresholds and "equidistant" restricts the distance between consecutive thresholds to
ranef
logical; indicating if random effects estimates should be returned
WAIC
A flag to indicate if the log likelihood of the model should be saved so that the WAIC can be computed afterwards.
For models with many observation, this leads to rather huge fitted model objects.
predict
A flag to indicate if posterior predictives of the dependent variable should be generated.
For models with many observation, this leads to rather huge fitted model objects.