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plotHMM  

Plot Hidden Markov Models
View on CRAN: Click here


Download and install plotHMM package within the R console
Install from CRAN:
install.packages("plotHMM")

Install from Github:
library("remotes")
install_github("cran/plotHMM")

Install by package version:
library("remotes")
install_version("plotHMM", "2023.8.28")



Attach the package and use:
library("plotHMM")
Maintained by
Toby Hocking
[Scholar Profile | Author Map]
All associated links for this package
First Published: 2022-01-19
Latest Update: 2023-09-05
Description:
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).
How to cite:
Toby Hocking (2022). plotHMM: Plot Hidden Markov Models. R package version 2023.8.28, https://cran.r-project.org/web/packages/plotHMM. Accessed 17 Jul. 2026.
Previous versions and publish date:
(2026-07-09 06:42), 2022.1.18 (2022-01-19 10:32), 2022.1.25 (2022-01-27 08:40)
Other packages that cited plotHMM R package
View plotHMM citation profile
Other R packages that plotHMM depends, imports, suggests or enhances
Complete documentation for plotHMM
Functions, R codes and Examples using the plotHMM R package
Some associated functions: backward_interface . buggy.5states . buggy.data . eln . forward_interface . multiply_interface . pairwise_interface . transition_interface . viterbi_interface . 
Some associated R codes: RcppExports.R . eln.R .  Full plotHMM package functions and examples
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