calc_rmse_eval

calc_rmse

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

internal

Fit and explore Drift Diffusion Models (DDMs),
a common tool in psychology for describing decision processes in simple
tasks. It can handle both time-independent and time-dependent DDMs. You
either choose prebuilt models or create your own, and the package takes
care of model predictions and parameter estimation. Model predictions
are derived via the numerical solutions provided by Richter, Ulrich, and
Janczyk (2023, <doi:10.1016/j.jmp.2023.102756>).

Valentin Koob

dRiftDM

Estimating (Time-Dependent) Drift Diffusion Models

Thomas Richter

Markus Janczyk

calc_rmse_eval function

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

Arguments

RMSE Calculation and Helpers — calc_rmse_eval

<dl>

<dt>pdfs</dt>
<dd>list of PDFs per condition (named).</dd>


<dt>t_vec</dt>
<dd>numeric time vector.</dd>


<dt>dt</dt>
<dd>numeric time step.</dd>


<dt>stats_agg</dt>
<dd>list of observed summary statistics.</dd>


<dt>stats_agg_info</dt>
<dd>list with info on quantile probabilities and CAF bins.</dd>


<dt>weight_err</dt>
<dd>non-negative numeric scalar; weight factor for CAF error
relative to quantile error. Default is 1.5</dd>


<dt>quants_pred</dt>
<dd>numeric vector of predicted quantiles (already flattened).</dd>


<dt>cafs_pred</dt>
<dd>numeric vector of predicted CAFs (already flattened).</dd>


<dt>quants_obs</dt>
<dd>numeric vector of observed quantiles (already flattened).</dd>


<dt>cafs_obs</dt>
<dd>numeric vector of observed CAFs (already flattened).</dd>

</dl>

calc_rmse_eval: RMSE Calculation and Helpers

Description

Usage

Value

Arguments

Details

See Also