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treeHMM (version 0.1.1)

Tree Structured Hidden Markov Model

Description

Used for Inference, Prediction and Parameter learning for tree structured Hidden Markov Model. The package propose a new architecture of Hidden Markov Model(HMM) known as Tree Structured HMM which could be used in various applications which involves graphs, trees etc.

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Version

Install

install.packages('treeHMM')

Monthly Downloads

4

Version

0.1.1

License

GPL (>= 2.0.0)

Maintainer

Prajwal Bende

Last Published

December 12th, 2019

Functions in treeHMM (0.1.1)

initHMM

Initializing treeHMM with given parameters
noisy_or

Calculating the probability of transition from multiple nodes to given node in the tree
baumWelchRecursion

Implementation of the Baum Welch Algorithm as a special case of EM algorithm
forward

Infer the forward probabilities for all the nodes of the treeHMM
fwd_seq_gen

Calculate the order in which nodes in the tree should be traversed during the forward pass(roots to leaves)
bwd_seq_gen

Calculate the order in which nodes in the tree should be traversed during the backward pass(leaves to roots)
baumWelch

Inferring the parameters of a tree Hidden Markov Model via the Baum-Welch algorithm
backward

Infer the backward probabilities for all the nodes of the treeHMM