Package: HMM 1.0.2

Lin Himmelmann

HMM: Hidden Markov Models

Easy to use library to setup, apply and make inference with discrete time and discrete space Hidden Markov Models.

Authors:Lin Himmelmann [aut, cre]

# Install 'HMM' in R:

install.packages('HMM', repos = c('https://cran.r-universe.dev', 'https://cloud.r-project.org'))

On CRAN:

This package does not link to any Github/Gitlab/R-forge repository. No issue tracker or development information is available.

Last updated from:84b461b2d0. Checks:4 OK. Indexed: yes.

Target	Result	Time
linux-devel-x86_64	OK	99
source / vignettes	OK	141
linux-release-x86_64	OK	96
wasm-release	OK	85

Dependencies:

Help page	Topics
Computes the backward probabilities	backward
Inferring the parameters of a Hidden Markov Model via the Baum-Welch algorithm	baumWelch
Example application for Hidden Markov Models	dishonestCasino
Computes the forward probabilities	forward
HMM - Hidden Markov Models	HMM
Initialisation of HMMs	initHMM
Computes the posterior probabilities for the states	posterior
Simulate states and observations for a Hidden Markov Model	simHMM
Computes the Most Probable Path of States	viterbi
Inferring the parameters of a Hidden Markov Model via Viterbi-training	viterbiTraining