do_resampling

Internal helper that sets the <code>skip_new_stats_dm</code> and
<code>skip_validate_stats_dm</code> options to <code>TRUE</code> before
evaluating an expression, and resets them to <code>NULL</code> afterward (see also
<code>stats.options()</code>). Intended to
prevent the (unncessary) creation/checking of stats_dm objects during
resampling.

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

do_resampling function

<dl><dt>x</dt>
<dd>An expression to evaluate.</dd></dl>

Arguments

Temporarily suppress new stats generation during resampling — do_resampling

<dl>

<dt>x</dt>
<dd>An expression to evaluate.</dd>

</dl>

do_resampling: Temporarily suppress new stats generation during resampling

Description

Usage

Value

Arguments