simulate_one_data_set

Function that simulates a single data based on a model (using the prms set

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

simulate_one_data_set function

<dl><dt>drift_dm_obj</dt>
<dd>a drift_dm object</dd>
<dt>n</dt>
<dd>integer, specifying the number of trials per condition. Can be a
single integer, or a (named) integer vector with the same length as
conds</dd>
<dt>conds</dt>
<dd>character vector, specifying the conditions to sample from.
Default <code>NULL</code> is equivalent to conds(drift_dm_obj)</dd>
<dt>round_to</dt>
<dd>integer, specifying the number of decimal places that the
simulated RTs should have. Default is <code>3L</code>.</dd></dl>

Arguments

Simulate one data set — simulate_one_data_set

<dl>

<dt>drift_dm_obj</dt>
<dd>a drift_dm object</dd>


<dt>n</dt>
<dd>integer, specifying the number of trials per condition. Can be a
single integer, or a (named) integer vector with the same length as
conds</dd>


<dt>conds</dt>
<dd>character vector, specifying the conditions to sample from.
Default <code>NULL</code> is equivalent to conds(drift_dm_obj)</dd>


<dt>round_to</dt>
<dd>integer, specifying the number of decimal places that the
simulated RTs should have. Default is <code>3L</code>.</dd>

</dl>

simulate_one_data_set: Simulate one data set

Description

Usage

Value

Arguments