drop_levels_ID_column

This function takes a data frame with an ID colmumn, and drops the unused
levels from the ID column if it is factor; in this case a warning is
thrown

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

drop_levels_ID_column function

<dl><dt>some_data</dt>
<dd>a data.frame with an ID column</dd></dl>

Arguments

Maybe droplevels of ID column — drop_levels_ID_column

<dl>

<dt>some_data</dt>
<dd>a data.frame with an ID column</dd>

</dl>

drop_levels_ID_column: Maybe droplevels of ID column

Description

Usage

Value

Arguments