discrimination

This data set is from a simple discrimation learning experiment. It
	consists of 192 binary series of responses of different lengths. This
	is a subset of the data described by <cite>Raijmakers et al. (2001)</cite>, and
	it is analyzed much more extensively using latent Markov models and depmix in
	<cite>Schmittmann et al. (2006)</cite> and <cite>Visser et al. (2006).</cite>.

datasets

Datasets and code examples that accompany our book Visser & Speekenbrink (2021), "Mixture and Hidden Markov Models with R", <https://depmix.github.io/hmmr/>.

Ingmar Visser

hmmr

"Mixture and Hidden Markov Models with R" Datasets and Example
Code

Maarten Speekenbrink

discrimination function

A data frame with a total of 3139 observations on the following variable:<dl class="dl-horizontal">
	<dt><code>acc</code></dt><dd>a factor of accuracy scores (incorrect/correct)</dd>
 </dl>

Format

Discrimination Learning Data — discrimination

A data frame with a total of 3139 observations on the following variable:<dl class='dl-horizontal'>
	<dt><code>acc</code></dt><dd>a factor of accuracy scores (incorrect/correct)</dd>
 </dl>

discrimination: Discrimination Learning Data

Description

Usage

Arguments

Format