calc_fit_stats: Calculate Fit Statistics

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

Calculate Fit Statistics

Description

Computes/Summarizes multiple fit statistics, inclduing Log-Likelihood, the Negative Log-Likelihood, the Akaike Information Criterion (AIC), the Bayesian Information Criterion (BIC), and the Root-Mean Squared-Error (RMSE) statistic.

Usage

calc_fit_stats(drift_dm_obj, k = 2, ...)

Arguments

drift_dm_obj	an object of type drift_dm
k	a single numeric, scaling the penality of stats::AIC)
...	additional arguments passed forward. Options are probs, n_bins, and weight_err for calculating the RMSE.

Value

A custom object of class stats_dm (c("fit_stats", "stats_dm", "data.frame")). The columns are:

• Log_Like: the log-likelihood value

• Neg_Log_Like: the negative log-likelihood value

• AIC: the calculated AIC value

• BIC: the calculated BIC value

• RMSE_s: the root-mean-squared error (for RTs in seconds)

• RMSE_ms: the root-mean-squared error (for RTs in milliseconds) If a respective statistic cannot be calculated, the respective column contains NA.

See Also

new_stats_dm(), logLik.drift_dm

dRiftDM documentation built on Dec. 1, 2025, 5:08 p.m.