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 |
| Author: | Atesh Koul |
| Maintainer: | Atesh Koul <atesh.koul at gmail.com> |
| License: | GPL-3 |
| NeedsCompilation: | no |
| Materials: | README |
| CRAN checks: | PredPsych results |
| Reference manual: | PredPsych.pdf |
| Package source: | PredPsych_0.4.tar.gz |
| Windows binaries: | r-devel: PredPsych_0.4.zip, r-release: PredPsych_0.4.zip, r-oldrel: PredPsych_0.4.zip |
| macOS binaries: | r-release: PredPsych_0.4.tgz, r-oldrel: PredPsych_0.4.tgz |
| Old sources: | PredPsych archive |
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