Package: regMR Title: Regularized Finite Mixture Regression Models Using MM Algorithm Version: 1.0.0.9000 Authors@R: c( person("Cameron", "Bechthold", email = "cbechtho@uoguelph.ca", role = c("aut", "cre", "cph")), person("Vinay", "Joshy", email = "joshy@uoguelph.ca", role = c("aut", "ctb", "cph")), person("Zeny", "Feng", email = "zfeng@uoguelph.ca", role = c("aut", "ths", "cph")), person("Grace", "Stelter", email = "stelterg@uoguelph.ca", role = c("ctb"))) Description: Provides a comprehensive framework for fitting regularized finite mixture regression models via an MM algorithm. The sparse group lasso (sgl) penalty is applied to parameter updates within the MM algorithm for variable selection with respect to groups and covariates. The package provides multiple functions for estimation and allows users to fit models over different lambda-alpha sgl penalties and group counts. License: MIT + file LICENSE Encoding: UTF-8 Roxygen: list(markdown = TRUE) RoxygenNote: 7.3.2 LinkingTo: Rcpp, RcppArmadillo Depends: R (>= 4.1.0) Imports: furrr, future, ggplot2, graphics, mclust, purrr, Rcpp, reshape2, plotly, stats Suggests: mvtnorm, rlang, testthat (>= 3.0.0) Config/testthat/edition: 3 URL: https://github.com/vjoshy/regMR BugReports: https://github.com/vjoshy/regMR/issues Config/pak/sysreqs: cmake make libicu-dev libuv1-dev libssl-dev Repository: https://vjoshy.r-universe.dev Date/Publication: 2026-08-02 22:04:33 UTC RemoteUrl: https://github.com/vjoshy/regmr RemoteRef: HEAD RemoteSha: f8e429b97d94d019dcd6c60d0829a471b94e6077 NeedsCompilation: yes Packaged: 2026-10-01 12:35:35 UTC; root Author: Cameron Bechthold [aut, cre, cph], Vinay Joshy [aut, ctb, cph], Zeny Feng [aut, ths, cph], Grace Stelter [ctb] Maintainer: Cameron Bechthold