Introduces a statistical validation layer between data preprocessing and predictive modeling. Evaluates the statistical readiness of tabular datasets through data quality assessment, leakage detection, transformation analysis, and feature stability.
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1.0.0 by Arshit Choudhary, 14 hours ago
https://arshit-dv.github.io/PrismR/, https://github.com/Arshit-dv/PrismR
Report a bug at https://github.com/Arshit-dv/PrismR/issues
Browse source code at https://github.com/cran/PrismR
Authors: Arshit Choudhary [aut, cre, cph] , Vanshika Sharma [aut, ctb] , Amrit Pal [ths]
Documentation: PDF Manual
MIT + file LICENSE license
Imports graphics, stats, utils, e1071, ggplot2, ggrepel
Suggests testthat
See at CRAN