update_special_values

This function takes a flex_prms object and updates the prms_matrix according
to the special instructions in <code>internal_list</code> and the custom parameters
<code>cust_prms</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

update_special_values function

<dl><dt>flex_prms_obj</dt>
<dd>a flex_prms object</dd></dl>

Arguments

Update all prms — update_special_values

<dl>

<dt>flex_prms_obj</dt>
<dd>a flex_prms object</dd>

</dl>

update_special_values: Update all prms

Description

Usage

Value

Arguments