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DPBBM: Dirichlet Process Beta-Binomial Mixture

Beta-binomial Mixture Model is used to infer the pattern from count data. It can be used for clustering of RNA methylation sequencing data.

Version: 0.2.5
Depends: R (≥ 3.1.0)
Imports: tmvtnorm, VGAM, gplots, CEoptim
Published: 2016-09-29
DOI: 10.32614/CRAN.package.DPBBM
Author: Lin Zhang
Maintainer: Lin Zhang <lin.zhang at cumt.edu.cn>
License: GPL-2 | GPL-3 [expanded from: GPL (≥ 2)]
NeedsCompilation: no
Materials: NEWS
CRAN checks: DPBBM results

Documentation:

Reference manual: DPBBM.pdf

Downloads:

Package source: DPBBM_0.2.5.tar.gz
Windows binaries: r-devel: DPBBM_0.2.5.zip, r-release: DPBBM_0.2.5.zip, r-oldrel: DPBBM_0.2.5.zip
macOS binaries: r-release (arm64): DPBBM_0.2.5.tgz, r-oldrel (arm64): DPBBM_0.2.5.tgz, r-release (x86_64): DPBBM_0.2.5.tgz, r-oldrel (x86_64): DPBBM_0.2.5.tgz

Linking:

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These binaries (installable software) and packages are in development.
They may not be fully stable and should be used with caution. We make no claims about them.