arr15334/BaumWelch: Baum-Welch algorithm implementation for updating transition and emission matrices

Baum-Welch is a special case of Expectacion-Maximization Algorithm, that uses the forward-backward algorithm for calculating and updating the transition and emission matrices of a Hidden Markov Model for a given sequence where we only have access to the observable states and not to the hidden states.

Getting started

Package details

AuthorRodrigo Arriaza
MaintainerRodrigo Arriaza <arr15334@uvg.edu.gt>
LicenseMIT
Version0.1.0
Package repositoryView on GitHub
Installation Install the latest version of this package by entering the following in R:
install.packages("remotes")
remotes::install_github("arr15334/BaumWelch")
arr15334/BaumWelch documentation built on Jan. 23, 2022, 1:30 a.m.