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: |
0.4 |
| 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 [issues need fixing before 2025-10-31] |
Documentation:
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