model_selection: Compare fitted models

In loelschlaeger/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
)

Arguments

...	One or more objects of class RprobitB_fit.
criteria	A vector of one or more of the following characters: "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	Set to TRUE to add the model formulas.

Details

See the vignette on model selection for more details.

Value

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

loelschlaeger/RprobitB documentation built on Oct. 15, 2024, 11:08 a.m.