Package: dwmmlRidge Type: Package Title: Dynamically Weighted Modified Maximum Likelihood (DWMML) Ridge Regression Version: 0.1.1 Authors@R: c( person("Filiz", "Karadag", email = "filiz.karadag@ege.edu.tr", role = c("aut", "cre"), comment = c(ORCID = "0000-0002-0116-7772")), person("Hakan Savas", "Sazak", email = "hakan.savas.sazak@ege.edu.tr", role = "aut", comment = c(ORCID = "0000-0001-6123-1214")), person("Olgun", "Aydin", email = "olgun.aydin@pg.edu.pl", role = "aut", comment = c(ORCID = "0000-0002-7090-0931"))) Description: Implements the dynamically weighted modified maximum likelihood ridge (DWMMLR) regression estimator, a robust and multicollinearity-aware linear regression estimator that combines the DWMML3 weighting procedure of Sazak (2019) with ridge penalization to address both outlier sensitivity and variance inflation due to multicollinearity. The ridge parameter is selected automatically using the approach implemented in the 'ridgregextra' package (Karadag, Sazak, and Aydin, 2023) , described further in Karadag, Sazak, and Aydin (2026) , which targets a variance inflation factor (VIF) close to but not below 1, removing the need for manual tuning. Returns comprehensive outputs (coefficients, fitted values, residuals, mean squared error (MSE), standard errors, R-squared, and adjusted R-squared) through a simple x/y interface. License: MIT + file LICENSE Encoding: UTF-8 Depends: R (>= 4.0.0) Imports: MASS, stats, Styperidge.reg Suggests: isdals, mctest Enhances: ridgregextra URL: https://github.com/filizkrdg/dwmmlRidge BugReports: https://github.com/filizkrdg/dwmmlRidge/issues RoxygenNote: 7.3.2 NeedsCompilation: no Packaged: 2026-06-26 18:39:48 UTC; root Author: Filiz Karadag [aut, cre] (ORCID: ), Hakan Savas Sazak [aut] (ORCID: ), Olgun Aydin [aut] (ORCID: ) Maintainer: Filiz Karadag Repository: https://cran.r-universe.dev Date/Publication: 2026-06-26 10:10:02 UTC RemoteUrl: https://github.com/cran/dwmmlRidge RemoteRef: HEAD RemoteSha: 05b5b93b7dbcef5e197400d9b5e847e6b6c6c61a