Package: regmhmm 1.0.0
regmhmm: 'regmhmm' Fits Hidden Markov Models with Regularization
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).
Authors:
regmhmm_1.0.0.tar.gz
regmhmm_1.0.0.tar.gz(r-4.5-noble)regmhmm_1.0.0.tar.gz(r-4.4-noble)
regmhmm_1.0.0.tgz(r-4.4-emscripten)regmhmm_1.0.0.tgz(r-4.3-emscripten)
regmhmm.pdf |regmhmm.html✨
regmhmm/json (API)
# Install 'regmhmm' in R: |
install.packages('regmhmm', repos = c('https://cran.r-universe.dev', 'https://cloud.r-project.org')) |
Bug tracker:https://github.com/henryleongstat/regmhmm/issues
Last updated 1 years agofrom:354515cb38. Checks:OK: 2. Indexed: no.
Target | Result | Date |
---|---|---|
Doc / Vignettes | OK | Nov 29 2024 |
R-4.5-linux-x86_64 | OK | Nov 29 2024 |
Exports:backwardcompute_joint_statecompute_loglikelihoodcompute_stateforwardforward_backwardHMMHMM_C_rawHMM_one_stepIRLS_EMrHMMrHMM_one_stepsimulate_HMM_data
Dependencies:codetoolsforeachglmnetglmnetUtilsiteratorslatticeMASSMatrixRcppRcppArmadilloRcppEigenshapesurvival