Open Source Text Processing Project: R-HMM

Deep Learning Specialization on Coursera

RHMM: HMM – Hidden Markov Models

Project Website:

Github Link: None


This toolbox supports inference and learning for HMMs with discrete outputs (dhmm’s), Gaussian outputs HMM: HMM – Hidden Markov Models

Easy to use library to setup, apply and make inference with discrete time and discrete space Hidden Markov Models

Version: 1.0
Depends: R (≥ 2.0.0)
Published: 2010-01-10
Author: Scientific Software Development – Dr. Lin Himmelmann,
Maintainer: Lin Himmelmann
License: GPL-2 | GPL-3 [expanded from: GPL (≥ 2)]
NeedsCompilation: no
CRAN checks: HMM results

Reference manual: HMM.pdf
Package source: HMM_1.0.tar.gz
Windows binaries: r-devel:, r-release:, r-oldrel:
OS X Snow Leopard binaries: r-release: HMM_1.0.tgz, r-oldrel: HMM_1.0.tgz
OS X Mavericks binaries: r-release: HMM_1.0.tgz

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