'regmhmm' Fits Hidden Markov Models with Regularization R package regmhmm version 1.0.0 Designed for longitudinal data analysis using Hidden Markov Models (HMMs). Tailored for applications in healthcare, social sciences, and economics, the main emphasis of this package is on regularization techniques for fitting HMMs. Additionally, it provides an implementation for fitting HMMs without regularization, referencing Zucchini et al. (2017, ISBN:9781315372488). Software Imports: glmnet, glmnetUtils, MASS, Rcpp, stats LinkingTo: Rcpp, RcppArmadillo Suggests: covr, knitr, rmarkdown, testthat (>= 3.0.0) Man Chong Leong <mc.leong26@gmail.com> Comprehensive R Archive Network (CRAN) Man Chong Leong [cre, aut] (ORCID: <https://orcid.org/0000-0003-3895-9527>) GPL (>= 3) 2023-12-04 application/tgz https://CRAN.R-project.org/package=regmhmm doi:10.32614/CRAN.package.regmhmm en-US