dRiftDM (version 0.3.1)

logLik.fits_ids_dm: Extract Model Statistics for fits_ids_dm Object

Description

These methods are wrappers to extract specific model fit statistics (log-likelihood, AIC, BIC) for each model in a fits_ids_dm object.

Usage

# S3 method for fits_ids_dm
logLik(object, ...)
# S3 method for fits_ids_dm
AIC(object, ..., k = 2)
# S3 method for fits_ids_dm
BIC(object, ...)

Value

An object of type fit_stats containing the respective statistic in one column (named Log_Like, AIC, or BIC) and a corresponding ID

column. If any of the statistics can't be calculated, the function returns NULL.

Arguments

object

a fits_ids_dm object (see estimate_model_ids)

...

additional arguments (currently not used)

k

numeric; penalty parameter for the AIC calculation. Defaults to 2 (standard AIC).

Details

Each function retrieves the relevant statistics by calling calc_stats with type = "fit_stats" and selects the columns for ID and the required statistic.

See Also

stats::AIC(), stats::BIC(), logLik.drift_dm

Examples

# get an auxiliary fits_ids object for demonstration purpose;
# such an object results from calling load_fits_ids
all_fits <- get_example_fits("fits_ids_dm")

# AICs
AIC(all_fits)

# BICs
BIC(all_fits)

# Log-Likelihoods
logLik(all_fits)

# All unique and free parameters
coef(all_fits)

# Or all parameters across all conditions
coef(all_fits, select_unique = FALSE)