aggregate_stats

<code>aggregate_stats</code> is a (not exported) function to aggregate
<code>stats_dm</code> objects across <code>ID</code>s. Since the column names may vary by the
statistic type, the behavior of aggregate depends on the subclass of
<code>stats_dm</code>.

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

aggregate_stats function

<dl><dt>stat_df</dt>
<dd>A <code>data.frame</code> of class <code>stats_dm</code> (see
<code>new_stats_dm()</code>)</dd></dl>

Arguments

Aggregate Statistics Across ID — aggregate_stats

<dl>

<dt>stat_df</dt>
<dd>A <code>data.frame</code> of class <code>stats_dm</code> (see
<code>new_stats_dm()</code>)</dd>

</dl>

aggregate_stats: Aggregate Statistics Across ID

Description

Usage

Value

Arguments

Details

See Also