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. The source code is hosted on GitHub

Copy Link

Version

Down Chevron

Install

install.packages('tileHMM')

Monthly Downloads

60

Version

1.0-7

License

GPL (>= 2)

Maintainer

Last Published

July 2nd, 2015

Functions in tileHMM (1.0-7)