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: 0.4 Depends: R (≥ 3.5.0) Imports: plyr, ggplot2, caret, rpart, e1071, mclust, MASS, party, randomForest, statmod Suggests: knitr, rmarkdown Published: 2019-07-23 DOI: 10.32614/CRAN.package.PredPsych Author: Atesh Koul Maintainer: Atesh Koul <atesh.koul at gmail.com> License: GPL-3 NeedsCompilation: no Materials: README CRAN checks: PredPsych results Documentation: Downloads: Linking:Please use the canonical form https://CRAN.R-project.org/package=PredPsych to link to this page.
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