calc_rmse_eval: RMSE Calculation and Helpers

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

RMSE Calculation and Helpers

Description

Internal helpers for computing the root mean squared error (RMSE) between predicted and observed quantiles and conditional accuracy functions.

Usage

calc_rmse_eval(pdfs, t_vec, dt, stats_agg, stats_agg_info, weight_err = 1.5)

calc_rmse(quants_pred, cafs_pred, quants_obs, cafs_obs, weight_err = 1.5)

Arguments

pdfs	list of PDFs per condition (named).
t_vec	numeric time vector.
dt	numeric time step.
stats_agg	list of observed summary statistics.
stats_agg_info	list with info on quantile probabilities and CAF bins.
weight_err	non-negative numeric scalar; weight factor for CAF error relative to quantile error. Default is 1.5
quants_pred	numeric vector of predicted quantiles (already flattened).
cafs_pred	numeric vector of predicted CAFs (already flattened).
quants_obs	numeric vector of observed quantiles (already flattened).
cafs_obs	numeric vector of observed CAFs (already flattened).

Details

• calc_rmse_eval() prepares observed and predicted quantiles/CAFs from PDFs and aggregated info, then calls calc_rmse().

• calc_rmse() computes the weighted RMSE given predicted and observed quantiles/CAFs.

Value

A single numeric RMSE value, or NULL if no observed stats were provided, or Inf if predictions failed (contain NA).

See Also

stats_from_pdfs_agg_info()

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