Package: risdr Title: Regularised and Information-Theoretic Sufficient Dimension Reduction Version: 0.4.0 Authors@R: person("Kabir", "Olorede", email = "kabirolorede@gmail.com", role = c("aut", "cre")) Description: Implements covariance-stabilised sufficient dimension reduction for continuous responses, with an additional sparse engine for continuous, categorical, and right-censored survival responses and information-theoretic structural dimension selection. Supported methods include sliced inverse regression, sliced average variance estimation, directional regression, and principal Hessian directions. Sample, ridge, Oracle Approximating Shrinkage, Ledoit-Wolf, and Maximum Entropy Covariance (MEC) estimators are provided alongside prediction, resampling, simulation, and diagnostic utilities. The sufficient dimension reduction methods build on Li (1991) , Li (1992) , and Li and Wang (2007) . Covariance shrinkage follows Olorede and Yahya (2019) , Ledoit and Wolf (2004) and Chen et al. (2010) . License: GPL (>= 3) Encoding: UTF-8 Language: en-GB Depends: R (>= 4.1.0) Roxygen: list(markdown = TRUE) Imports: stats, graphics, utils, MASS, Matrix, survival, nnet Suggests: dplyr, knitr, readr, rmarkdown, testthat (>= 3.0.0), VIM, withr Config/testthat/edition: 3 Config/Needs/coverage: covr, xml2 Config/Needs/website: r-lib/pkgdown VignetteBuilder: knitr, rmarkdown URL: https://github.com/ilovemaths/risdr, https://ilovemaths.github.io/risdr/ BugReports: https://github.com/ilovemaths/risdr/issues Config/roxygen2/version: 8.1.0 RoxygenNote: 7.3.3 Repository: https://ilovemaths.r-universe.dev Date/Publication: 2026-10-12 18:23:20 UTC RemoteUrl: https://github.com/ilovemaths/risdr RemoteRef: HEAD RemoteSha: 9add706529ec156d1570ee3390c09db303c9e06a NeedsCompilation: no Packaged: 2026-10-12 23:11:17 UTC; root Author: Kabir Olorede [aut, cre] Maintainer: Kabir Olorede