set_one_solver_setting

Internal function to update one aspect of <code>prms_solve</code> or <code>solver</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

set_one_solver_setting function

<dl><dt>drift_dm_obj</dt>
<dd>an object of type drift_dm</dd>
<dt>name_prm_solve</dt>
<dd>which aspect to address? ("sigma", "t_max", "dx", "dt",
"solver")</dd>
<dt>value_prm_solve</dt>
<dd>either a single numeric or character string</dd></dl>

Arguments

Set one specific aspect of the solver settings — set_one_solver_setting

<dl>

<dt>drift_dm_obj</dt>
<dd>an object of type drift_dm</dd>


<dt>name_prm_solve</dt>
<dd>which aspect to address? ("sigma", "t_max", "dx", "dt",
"solver")</dd>


<dt>value_prm_solve</dt>
<dd>either a single numeric or character string</dd>

</dl>

set_one_solver_setting: Set one specific aspect of the solver settings

Description

Usage

Value

Arguments

Details