model_selection: Compare fitted models

In RprobitB: Bayesian Probit Choice Modeling

Compare fitted models

Description

This function returns a table with several criteria for model comparison.

Usage

model_selection(
  ...,
  criteria = c("npar", "LL", "AIC", "BIC"),
  add_form = FALSE
)

## S3 method for class 'RprobitB_model_selection'
print(x, digits = 2, ...)

Arguments

...	One or more objects of class RprobitB_fit.
criteria	[character()] One or more of the following: "npar" for the number of model parameters (see npar), "LL" for the log-likelihood value (see logLik), "AIC" for the AIC value (see AIC), "BIC" for the BIC value (see BIC), "WAIC" for the WAIC value (also shows its standard error sd(WAIC) and the number pWAIC of effective model parameters, see WAIC), "MMLL" for the marginal model log-likelihood, "BF" for the Bayes factor, "pred_acc" for the prediction accuracy (see pred_acc).
add_form	[logical(1)] Add the model formulas?
x	An object of class RprobitB_model_selection.
digits	[integer(1)] The number of digits.

Details

See the vignette on model selection for more details.

Value

A data.frame, criteria in columns, models in rows.

RprobitB documentation built on Aug. 26, 2025, 1:08 a.m.