model_selection {RprobitB} | R Documentation |
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.
[Package
RprobitB version 1.1.4
Index]