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HMM (version 1.0)
HMM - 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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Version
Version
1.0.1
1.0
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Install
install.packages('HMM')
Monthly Downloads
790
Version
1.0
License
GPL (>= 2)
Maintainer
Lin Himmelmann
Last Published
January 10th, 2010
Functions in HMM (1.0)
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dishonestCasino
Example application for Hidden Markov Models
viterbi
Computes the most probable path of states
HMM
HMM - Hidden Markov Models
viterbiTraining
Inferring the parameters of a Hidden Markov Model via Viterbi-training
forward
Computes the forward probabilities
posterior
Computes the posterior probabilities for the states
baumWelch
Inferring the parameters of a Hidden Markov Model via the Baum-Welch algorithm
simHMM
Simulate states and observations for a Hidden Markov Model
backward
Computes the backward probabilities
initHMM
Initialisation of HMM's