Hidden Markov Models are useful for modeling sequential data. This package provides several functions implemented in C++ for explaining the algorithms used for Hidden Markov Models (forward, backward, decoding, learning).
Version: 2023.8.28 Imports: Rcpp (≥ 1.0.7) LinkingTo: Rcpp, RcppArmadillo Suggests: testthat, knitr, markdown, R.utils, covr, depmixS4, data.table, ggplot2, neuroblastoma, microbenchmark Published: 2023-09-05 DOI: 10.32614/CRAN.package.plotHMM Author: Toby Hocking [aut, cre] Maintainer: Toby Hocking <toby.hocking at r-project.org> License: GPL-2 | GPL-3 [expanded from: GPL (≥ 2)] NeedsCompilation: yes Materials: NEWS CRAN checks: plotHMM results Documentation: Downloads: Linking:Please use the canonical form https://CRAN.R-project.org/package=plotHMM to link to this page.
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