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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.
| Version: | 1.0.0 |
| Imports: | graphics, stats, utils, e1071, ggplot2, ggrepel |
| Suggests: | testthat (≥ 3.0.0) |
| Published: | 2026-10-28 |
| DOI: | 10.32614/CRAN.package.PrismR (may not be active yet) |
| Author: | Arshit Choudhary [aut, cre, cph], Vanshika Sharma [aut, ctb], Amrit Pal [ths] |
| Maintainer: | Arshit Choudhary <arshitchoudhary3010 at gmail.com> |
| BugReports: | https://github.com/Arshit-dv/PrismR/issues |
| License: | MIT + file LICENSE |
| URL: | https://arshit-dv.github.io/PrismR/, https://github.com/Arshit-dv/PrismR |
| NeedsCompilation: | no |
| CRAN checks: | PrismR results |
| Reference manual: | PrismR.html , PrismR.pdf |
| Package source: | PrismR_1.0.0.tar.gz |
| Windows binaries: | r-devel: not available, r-release: not available, r-oldrel: not available |
| macOS binaries: | r-release (arm64): not available, r-oldrel (arm64): not available, r-release (x86_64): not available, r-oldrel (x86_64): not available |
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These binaries (installable software) and packages are in development.
They may not be fully stable and should be used with caution. We make no claims about them.