Package: plotHMM 2025.7.23

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).

Authors:Toby Hocking [aut, cre]

plotHMM_2025.7.23.tar.gz
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manual.pdf |manual.html
DESCRIPTION |NEWS
card.svg |card.png
plotHMM/json (API)

# Install 'plotHMM' in R:
install.packages('plotHMM', repos = c('https://tdhock.r-universe.dev', 'https://cloud.r-project.org'))

Bug tracker:https://github.com/tdhock/plothmm/issues

Uses libs:
  • c++– GNU Standard C++ Library v3
Datasets:

On CRAN:

Conda:

cpp

3.30 score 4 scripts 296 downloads 9 exports 2 dependencies

Last updated from:be92fc1a96. Checks:13 OK. Indexed: yes.

TargetResultTimeFilesSyslog
linux-devel-arm64OK147
linux-devel-x86_64OK157
source / vignettesOK226
linux-release-arm64OK174
linux-release-x86_64OK147
macos-release-arm64OK139
macos-release-x86_64OK217
macos-oldrel-arm64OK111
macos-oldrel-x86_64OK242
windows-develOK147
windows-releaseOK136
windows-oldrelOK140
wasm-releaseOK174

Exports:backward_interfaceelnproductelnsumforward_interfacelogsumexpmultiply_interfacepairwise_interfacetransition_interfaceviterbi_interface

Dependencies:RcppRcppArmadillo

Comparison with depmixS4
Simple data set where depmix errors for nstates=2 | Data set where nstates=5 errors | Fit several data sequences | How to constrain common variance parameter? | Forward-backward algorithm speed comparison | Viterbi algorithm speed comparison

Last update: 2023-08-29
Started: 2021-10-18

Multiple sequences
Simple data set where depmix errors for nstates=2

Last update: 2021-10-27
Started: 2021-10-27

Readme and manuals

Help Manual

Help pageTopics
Backward algorithmbackward_interface
Buggy data with 5 statesbuggy.5states
Buggy data with one statebuggy.data
Log probability arithmeticelnproduct elnsum logsumexp
Forward algorithmforward_interface
Multiply algorithmmultiply_interface
Pairwise algorithmpairwise_interface
Transition algorithmtransition_interface
Viterbi algorithmviterbi_interface