calc_cafs_obs: Calculate CAFs

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

Calculate CAFs

Description

Backend functions to calculate conditional accuracy functions for RT vectors or pdfs

Usage

calc_cafs_obs(rts_u, rts_l, one_cond, n_bins)

calc_cafs_pred(pdf_u, pdf_l, one_cond, n_bins)

Arguments

rts_u, rts_l	vectors of RTs for the upper and lower boundary
one_cond	character label
n_bins	number of bins to use for the CAFs
pdf_u, pdf_l	density values for the upper and lower boundary

Details

for RTs: first elements are attributed to a bin (with bins calculated across all RTs using equally spaced quantiles), then accuracy per bin is calculated.

for Densities: Add density values, calculate a CDF and force it between 0 and

1. Then determine the indices that cut the CDF into bins by considering equally spaced quantiles. Then calculate the ratio of probability mass per bin.

Value

a data.frame with the "Cond" label, the "Bin"s and "P_U" for the CAFs

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