logLik.fits_ids_dm: Extract Model Statistics for fits_ids_dm Object

In dRiftDM: Estimating (Time-Dependent) Drift Diffusion Models

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 class 'fits_ids_dm'
logLik(object, ...)

## S3 method for class 'fits_ids_dm'
AIC(object, ..., k = 2)

## S3 method for class 'fits_ids_dm'
BIC(object, ...)

Arguments

object	a fits_ids_dm object (see estimate_model_ids)
...	additional arguments
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.

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.

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_ids()

# 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)

dRiftDM documentation built on April 3, 2025, 7:48 p.m.