treeHMM: Tree Structured Hidden Markov Model

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.

Version: 0.1.1
Imports: Matrix, gtools, future, matrixStats, PRROC
Published: 2019-12-12
Author: Prajwal Bende [aut, cre], Russ Greiner [ths], Pouria Ramazi [ths]
Maintainer: Prajwal Bende <pbende at ualberta.ca>
License: GPL-2 | GPL-3 [expanded from: GPL (≥ 2.0.0)]
NeedsCompilation: no
CRAN checks: treeHMM results

Downloads:

Reference manual: treeHMM.pdf
Package source: treeHMM_0.1.1.tar.gz
Windows binaries: r-devel: treeHMM_0.1.1.zip, r-devel-gcc8: treeHMM_0.1.0.zip, r-release: treeHMM_0.1.0.zip, r-oldrel: treeHMM_0.1.1.zip
OS X binaries: r-release: treeHMM_0.1.1.tgz, r-oldrel: treeHMM_0.1.1.tgz
Old sources: treeHMM archive

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