flex_fix_prms

This function modifies the (linear) internal list and sets the desired
parameters (based on the instruction string) to 0. This indicates that
this parameter is not altered within the function x2prms_vals
(i.e., ' prm &lt;!&gt; conda')

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

flex_fix_prms function

<dl><dt>flex_prms_obj</dt>
<dd>a flex_prms object</dd>
<dt>formula_instr</dt>
<dd>a string referring to "fix"
(see modify_flex_prms)</dd></dl>

Arguments

Exclude parameters from being modified (i.e., fix it; internal docu) — flex_fix_prms

<dl>

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


<dt>formula_instr</dt>
<dd>a string referring to "fix"
(see modify_flex_prms)</dd>

</dl>

flex_fix_prms: Exclude parameters from being modified (i.e., fix it; internal docu)

Description

Usage

Value

Arguments