obs_data_to_rt_lists

Takes a data.frame with columns RT, Cond, and <code>column</code> matching with
b_coding, and disassembles it into a list of rts

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

obs_data_to_rt_lists function

<dl><dt>obs_data</dt>
<dd>a data.frame wth columns RT, Cond, and <code>column</code> matching
<code>b_coding</code></dd>
<dt>b_coding</dt>
<dd>a boundary coding list (see b_coding)</dd></dl>

Arguments

Disassemble an Observed Data set — obs_data_to_rt_lists

<dl>

<dt>obs_data</dt>
<dd>a data.frame wth columns RT, Cond, and <code>column</code> matching
<code>b_coding</code></dd>


<dt>b_coding</dt>
<dd>a boundary coding list (see b_coding)</dd>

</dl>

obs_data_to_rt_lists: Disassemble an Observed Data set

Description

Usage

Value

Arguments

Details