calc_cafs

Function that calls the underlying CAF calculation functions
calc_cafs_obs and calc_cafs_pred. Does input checks
and the data wrangling

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

calc_cafs function

<dl><dt>pdf_u, pdf_l</dt>
<dd>density values for the upper and lower boundary</dd>
<dt>t_vec</dt>
<dd>the time space</dd>
<dt>rts_u, rts_l</dt>
<dd>vectors of RTs for the upper and lower boundary</dd>
<dt>one_cond</dt>
<dd>character label</dd>
<dt>n_bins</dt>
<dd>number of bins to use for the CAFs</dd>
<dt>b_coding</dt>
<dd>used for accessing the upper boundary label, determines
the corresponding column of the returned data.frame (e.g., P_<code>corr</code>).</dd></dl>

Arguments

Calculate CAFs — calc_cafs

<dl>

<dt>pdf_u, pdf_l</dt>
<dd>density values for the upper and lower boundary</dd>


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


<dt>rts_u, rts_l</dt>
<dd>vectors of RTs for the upper and lower boundary</dd>


<dt>one_cond</dt>
<dd>character label</dd>


<dt>n_bins</dt>
<dd>number of bins to use for the CAFs</dd>


<dt>b_coding</dt>
<dd>used for accessing the upper boundary label, determines
the corresponding column of the returned data.frame (e.g., P_<code>corr</code>).</dd>

</dl>

calc_cafs: Calculate CAFs

Description

Usage

Value

Arguments

Details

See Also