flex_vary_prms

This function takes an object of type flex_prms and a instruction string
that refers to a "vary" instruction (i.e., ab ~ cd + ds). This string
is broken down and unique parameters are introduced for the condition x
parameter combinations

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_vary_prms function

<dl><dt>flex_prms_obj</dt>
<dd>an object of type flex_prms</dd>
<dt>formula_instr</dt>
<dd>a string referring to "vary"
(see modify_flex_prms)</dd></dl>

Arguments

Allow parameters to vary — flex_vary_prms

<dl>

<dt>flex_prms_obj</dt>
<dd>an object of type flex_prms</dd>


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

</dl>

flex_vary_prms: Allow parameters to vary

Description

Usage

Value

Arguments