Learn R Programming

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.

Copy Link

Version

Install

install.packages('treeHMM')

Monthly Downloads

14

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