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.
This is a ReadMe for the PredPsych package.
The functions are meant to provide a basic starting point.
The functions are provided as such and responsibility for checking results lies with the users.
To install please use (in R command prompt):
install.packages("devtools")
devtools::install_github("ateshkoul/PredPsych")
For details please contact:
Atesh Koul
([email protected])