Package: pridit Type: Package Title: Composite Scoring via Principal Component Analysis of Ridit Scores Version: 1.1.1 Authors@R: person("Robert D.", "Lieberthal", email = "rlieberthal@gmail.com", role = c("aut", "cre")) Description: 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) for insurance fraud detection and extended to hospital quality measurement by Lieberthal (2008) and Lieberthal and Comer (2013) . 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. License: Apache License (>= 2) URL: https://github.com/rlieberthal/PRIDIT BugReports: https://github.com/rlieberthal/PRIDIT/issues Encoding: UTF-8 LazyData: true 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 Config/testthat/edition: 3 VignetteBuilder: knitr Config/roxygen2/version: 8.0.0 Repository: https://rlieberthal.r-universe.dev Date/Publication: 2026-06-04 14:26:50 UTC RemoteUrl: https://github.com/rlieberthal/pridit RemoteRef: HEAD RemoteSha: 39f7296c597d5f6b34dbe9fee7f59ecfc66acd46 NeedsCompilation: no Packaged: 2026-06-04 17:06:05 UTC; root Author: Robert D. Lieberthal [aut, cre] Maintainer: Robert D. Lieberthal