# tileHMM [![Build Status](https://travis-ci.org/humburg/tileHMM.svg?branch=devel)](https://travis-ci.org/humburg/tileHMM) [![CRAN_Status_Badge](http://www.r-pkg.org/badges/version/tileHMM)](http://cran.r-project.org/web/packages/tileHMM)
Methods and classes to build HMMs that are suitable for the analysis of ChIP-chip data. The provided parameter estimation methods include the Baum-Welch algorithm and Viterbi training as well as a combination of both.

Releases for this R package are available from [CRAN](http://cran.r-project.org/web/packages/tileHMM/index.html). The source code is hosted on [GitHub](https://github.com/humburg/tileHMM/)

# tileHMM [![Build Status](https://travis-ci.org/humburg/tileHMM.svg?branch=master)](https://travis-ci.org/humburg/tileHMM) [![CRAN_Status_Badge](http://www.r-pkg.org/badges/version/tileHMM)](http://cran.r-project.org/web/packages/tileHMM)
Methods and classes to build HMMs that are suitable for the analysis of ChIP-chip data. The provided parameter estimation methods include the Baum-Welch algorithm and Viterbi training as well as a combination of both.

Releases for this R package are available from [CRAN](http://cran.r-project.org/web/packages/tileHMM/index.html). The source code is hosted on [GitHub](https://github.com/humburg/tileHMM/)

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