Package: regmhmm
Type: Package
Title: 'regmhmm' Fits Hidden Markov Models with Regularization
Version: 1.0.0
Date: 2023-11-29
Authors@R: c(
    person("Man Chong", "Leong", , "mc.leong26@gmail.com", role = c("cre", "aut"),
           comment = c(ORCID = "0000-0003-3895-9527"))
  )
Maintainer: Man Chong Leong <mc.leong26@gmail.com>
Description: 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).
License: GPL (>= 3)
Encoding: UTF-8
Imports: glmnet, glmnetUtils, MASS, Rcpp, stats
LinkingTo: Rcpp, RcppArmadillo
RoxygenNote: 7.2.3
URL: https://github.com/HenryLeongStat/regmhmm
BugReports: https://github.com/HenryLeongStat/regmhmm/issues
Suggests: covr, knitr, rmarkdown, testthat (>= 3.0.0)
Config/testthat/edition: 3
VignetteBuilder: knitr
Language: en-US
NeedsCompilation: yes
Packaged: 2023-12-01 18:08:55 UTC; mleong1
Author: Man Chong Leong [cre, aut] (<https://orcid.org/0000-0003-3895-9527>)
Repository: CRAN
Date/Publication: 2023-12-04 16:40:05 UTC
Built: R 4.6.0; aarch64-apple-darwin20; 2025-07-18 06:49:51 UTC; unix
Archs: regmhmm.so.dSYM
