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PredPsych (version 0.4)

Predictive Approaches in Psychology

Description

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.

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Version

Install

install.packages('PredPsych')

Monthly Downloads

148

Version

0.4

License

GPL-3

Maintainer

Last Published

July 23rd, 2019

Functions in PredPsych (0.4)

LinearDA

Cross-validated Linear Discriminant Analysis
overallConfusionMetrics

Confusion Matrix metrics for Cross-validation
ClassPerm

Permutation Analysis for classification
DimensionRed

Generic Dimensionallity Reduction Function
PredPsych

PredPsych.
fscore

f-score
KinData

Kinematics Dataset A dataset containing part of the motion capture dataset freely available in the publication (Ansuini et al., 2015).The dataset was obtained by recording 15 naive participants performing reach-to-grasp movements towards two differently sized objects: a small object (i.e., hazelnut) and a large object (i.e., grapefruit). The variables are as follows:
DTModel

Generic Decision Tree Function
ModelCluster

Model based Clustering
predictNewData

Predict Class membership for New Data
classifyFun

Generic Classification Analyses