disc42: Discrimination Learning Data

In hmmr: "Mixture and Hidden Markov Models with R" Datasets and Example Code

Description

This data set is a selection of six participants' responses from the discrimination data set.

Usage

data(disc42)

Format

A data frame consisting of the following variable:

acc

a factor of accuracy scores (incorrect/correct)

Source

Maartje E. J. Raijmakers, Conor V. Dolan and Peter C. M. Molenaar (2001). Finite mixture distribution models of simple discrimination learning. Memory \& Cognition, vol 29(5).

Ingmar Visser, Verena D. Schmittmann, and Maartje E. J. Raijmakers (2007). Markov process models for discrimination learning. In: Kees van Montfort, Han Oud, and Albert Satorra (Eds.), Longitudinal models in the behavioral and related sciences, Mahwah (NJ): Lawrence Erlbaum Associates.

Verena D. Schmittmann, Ingmar Visser and Maartje E. J. Raijmakers (2006). Multiple learning modes in the development of rule-based category-learning task performance. Neuropsychologia, vol 44(11), p. 2079-2091.

hmmr documentation built on May 27, 2021, 9:10 a.m.