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HMM (version 1.0.1)
Hidden Markov Models
Description
Easy to use library to setup, apply and make inference with discrete time and discrete space Hidden Markov Models.
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Link to current version
Version
Version
1.0.1
1.0
Install
install.packages('HMM')
Monthly Downloads
705
Version
1.0.1
License
GPL (>= 2)
Maintainer
Lin Himmelmann
Last Published
March 23rd, 2022
Functions in HMM (1.0.1)
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initHMM
Initialisation of HMMs
HMM
HMM - Hidden Markov Models
backward
Computes the backward probabilities
baumWelch
Inferring the parameters of a Hidden Markov Model via the Baum-Welch algorithm
viterbi
Computes the most probable path of states
viterbiTraining
Inferring the parameters of a Hidden Markov Model via Viterbi-training
forward
Computes the forward probabilities
dishonestCasino
Example application for Hidden Markov Models
posterior
Computes the posterior probabilities for the states
simHMM
Simulate states and observations for a Hidden Markov Model
