PredPsych: Predictive Approaches in Psychology

Recent years have seen an increased interest in novel methods for analyzing quantitative data from experimental psychology. Currently, however, they lack an established and accessible software framework. Many existing implementations provide no guidelines, consisting of small code snippets, or sets of packages. In addition, the use of existing packages often requires advanced programming experience. 'PredPsych' is a user-friendly toolbox based on machine learning predictive algorithms. It comprises of multiple functionalities for multivariate analyses of quantitative behavioral data based on machine learning models.

Version: 0.2
Depends: R (≥ 3.1.0)
Imports: plyr, ggplot2, caret, rpart, e1071, mclust, MASS, party, randomForest, statmod
Suggests: knitr, rmarkdown
Published: 2017-06-26
Author: Atesh Koul
Maintainer: Atesh Koul <atesh.koul at gmail.com>
License: GPL-3
NeedsCompilation: no
Materials: README
CRAN checks: PredPsych results

Downloads:

Reference manual: PredPsych.pdf
Package source: PredPsych_0.2.tar.gz
Windows binaries: r-devel: PredPsych_0.2.zip, r-release: PredPsych_0.2.zip, r-oldrel: PredPsych_0.2.zip
OS X El Capitan binaries: r-release: PredPsych_0.2.tgz
OS X Mavericks binaries: r-oldrel: PredPsych_0.2.tgz
Old sources: PredPsych archive

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