b_weibull

dt_b_weibull

Provides the boundary, collapsing in accordance with a Weibull function

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

b_weibull function

<dl><dt>prms_model</dt>
<dd>the model parameters, containing b0, lambda, k, kappa</dd>
<dt>prms_solve</dt>
<dd>solver settings</dd>
<dt>t_vec</dt>
<dd>time space</dd>
<dt>one_cond</dt>
<dd>one condition</dd>
<dt>ddm_opts</dt>
<dd>optional arguments attached to an object</dd></dl>

Arguments

Collapsing Boundary - Weibull Function — b_weibull

<dl>

<dt>prms_model</dt>
<dd>the model parameters, containing b0, lambda, k, kappa</dd>


<dt>prms_solve</dt>
<dd>solver settings</dd>


<dt>t_vec</dt>
<dd>time space</dd>


<dt>one_cond</dt>
<dd>one condition</dd>


<dt>ddm_opts</dt>
<dd>optional arguments attached to an object</dd>

</dl>

b_weibull: Collapsing Boundary - Weibull Function

Description

Usage

Value

Arguments

Details