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plotHMM (version 2023.8.28)

Plot Hidden Markov Models

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).

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Install

install.packages('plotHMM')

Monthly Downloads

323

Version

2023.8.28

License

GPL (>= 2)

Maintainer

Toby Hocking

Last Published

September 5th, 2023

Functions in plotHMM (2023.8.28)

viterbi_interface

Viterbi algorithm
pairwise_interface

Pairwise algorithm
multiply_interface

Multiply algorithm
forward_interface

Forward algorithm
buggy.5states

Buggy data with 5 states
backward_interface

Backward algorithm
eln

Log probability arithmetic
transition_interface

Transition algorithm
buggy.data

Buggy data with one state