PredPsych v0.1

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by Atesh Koul

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.

Functions in PredPsych

Name Description
ModelCluster Model based Clustering
PredPsych PredPsych.
LinearDA Cross-validated Linear Discriminant Analysis
fscore f-score
DimensionRed Generic Dimensionallity Reduction Function
classifyFun Generic Classification Analyses
KinData Kinematics Dataset
ClassPerm Permutation Analysis for classification
DTModel Generic Decision Tree Function
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Details

Type Package
Date 2017-02-13
License GPL-3
LazyData TRUE
RoxygenNote 5.0.1
Repository CRAN
NeedsCompilation no
Packaged 2017-02-14 19:30:34 UTC; koul
Date/Publication 2017-02-15 09:59:53

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