RprobitB (version 1.2.0)

model_selection: 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 RprobitB_model_selection
print(x, digits = 2, ...)

Value

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

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.