plotHMM: Plot Hidden Markov Models

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: 2022.1.25
Imports: Rcpp (≥ 1.0.7)
LinkingTo: Rcpp, RcppArmadillo
Suggests: testthat, knitr, markdown, R.utils, covr, depmixS4, data.table, ggplot2, neuroblastoma, microbenchmark
Published: 2022-01-27
Author: Toby Hocking [aut, cre]
Maintainer: Toby Hocking <toby.hocking at>
License: GPL-2 | GPL-3 [expanded from: GPL (≥ 2)]
NeedsCompilation: yes
Materials: NEWS
CRAN checks: plotHMM results


Reference manual: plotHMM.pdf
Vignettes: Comparison with depmixS4
Multiple sequences


Package source: plotHMM_2022.1.25.tar.gz
Windows binaries: r-devel:, r-release:, r-oldrel:
macOS binaries: r-release (arm64): plotHMM_2022.1.25.tgz, r-oldrel (arm64): plotHMM_2022.1.25.tgz, r-release (x86_64): plotHMM_2022.1.25.tgz, r-oldrel (x86_64): plotHMM_2022.1.25.tgz
Old sources: plotHMM archive


Please use the canonical form to link to this page.