count_unique_prms_one_internal_entry

This function takes one entry of the internal_list (i.e., all conditions for
one parameter) and counts how often there are unique digits &gt; 0

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

count_unique_prms_one_internal_entry function

<dl><dt>one_internal_entry</dt>
<dd>such as <code>internal_list[["A"]]</code></dd></dl>

Arguments

Count the number of digits &gt; 0 — count_unique_prms_one_internal_entry

<dl>

<dt>one_internal_entry</dt>
<dd>such as <code>internal_list[["A"]]</code></dd>

</dl>

count_unique_prms_one_internal_entry: Count the number of digits > 0

Description

Usage

Value

Arguments