pridit: Composite Scoring via Principal Component Analysis of Ridit
Scores
Implements 'PRIDIT' (Principal Component Analysis applied to 'RIDITs'), an
unsupervised, nonparametric method for aggregating ordinal, categorical,
and continuous indicators into a single interpretable composite score.
Originally proposed by Brockett et al. (2002)
<doi:10.1111/1539-6975.00027> for insurance fraud detection and
extended to hospital quality measurement by Lieberthal (2008)
<doi:10.1111/j.1475-6773.2007.00821.x> and Lieberthal and Comer (2013)
<doi:10.1111/rmir.12009>.
The package provides:
(1) low-level functions ridit(), PRIDITweight(), and PRIDITscore();
(2) a unified pridit() entry point returning a classed object with
print, summary, 'autoplot', and 'coef' methods;
(3) pridit_boot() for bootstrap confidence intervals on scores and weights;
(4) a step_pridit() recipe step for out-of-sample scoring within the
'tidymodels' framework; and
(5) pridit_longitudinal() for panel data, computing cross-period
stability of scores and weights.
| Version: |
1.1.1 |
| Depends: |
R (≥ 4.0.0) |
| Imports: |
ggplot2 (≥ 3.4.0), rlang, stats, utils |
| Suggests: |
generics, patchwork, recipes (≥ 1.0.0), testthat (≥ 3.0.0), knitr, rmarkdown |
| Published: |
2026-05-31 |
| DOI: |
10.32614/CRAN.package.pridit |
| Author: |
Robert D. Lieberthal [aut, cre] |
| Maintainer: |
Robert D. Lieberthal <rlieberthal at gmail.com> |
| BugReports: |
https://github.com/rlieberthal/PRIDIT/issues |
| License: |
Apache License (≥ 2) |
| URL: |
https://github.com/rlieberthal/PRIDIT |
| NeedsCompilation: |
no |
| Materials: |
README, NEWS |
| CRAN checks: |
pridit results |
Documentation:
Downloads:
Linking:
Please use the canonical form
https://CRAN.R-project.org/package=pridit
to link to this page.