prms_conds_to_modify

This function takes an instruction as a string and then extracts the
conditions and parameters, depending on what "type" of operation it is.
The expected structure is listed in the details docu of flex_prms()

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

prms_conds_to_modify function

<dl><dt>formula_instr</dt>
<dd>an instruction string</dd>
<dt>operation</dt>
<dd>what to expect in terms of the string's structure. Can be
"vary", "restrain", "fix", "set" or "dependency"</dd>
<dt>all_conds</dt>
<dd>all potential conditions (necessary for extending missing
condition specification)</dd>
<dt>all_prms</dt>
<dd>all potential paramters (necessary for extending missing
condition specification)</dd></dl>

Arguments

Extract the conditions and parameters from an instruction string — prms_conds_to_modify

<dl>

<dt>formula_instr</dt>
<dd>an instruction string</dd>


<dt>operation</dt>
<dd>what to expect in terms of the string's structure. Can be
"vary", "restrain", "fix", "set" or "dependency"</dd>


<dt>all_conds</dt>
<dd>all potential conditions (necessary for extending missing
condition specification)</dd>


<dt>all_prms</dt>
<dd>all potential paramters (necessary for extending missing
condition specification)</dd>

</dl>

prms_conds_to_modify: Extract the conditions and parameters from an instruction string

Description

Usage

Value

Arguments