To install this package, start R and enter:

source("http://bioconductor.org/biocLite.R")
biocLite("CSSP")

In most cases, you don't need to download the package archive at all.

CSSP

 

ChIP-Seq Statistical Power

Bioconductor version: Release (3.1)

Power computation for ChIP-Seq data based on Bayesian estimation for local poisson counting process.

Author: Chandler Zuo, Sunduz Keles

Maintainer: Chandler Zuo<zuo at stat.wisc.edu>

Citation (from within R, enter citation("CSSP")):

Installation

To install this package, start R and enter:

source("http://bioconductor.org/biocLite.R")
biocLite("CSSP")

Documentation

To view documentation for the version of this package installed in your system, start R and enter:

browseVignettes("CSSP")

 

PDF R Script cssp.pdf
PDF   Reference Manual

Details

biocViews Bayesian, ChIPSeq, QualityControl, Sequencing, Software
Version 1.6.0
In Bioconductor since BioC 2.13 (R-3.0) (2 years)
License GPL-2
Depends
Imports methods, splines, stats, utils
LinkingTo
Suggests testthat
SystemRequirements
Enhances
URL
Depends On Me
Imports Me
Suggests Me
Build Report  

Package Archives

Follow Installation instructions to use this package in your R session.

Package Source CSSP_1.6.0.tar.gz
Windows Binary CSSP_1.6.0.zip (32- & 64-bit)
Mac OS X 10.6 (Snow Leopard) CSSP_1.6.0.tgz
Mac OS X 10.9 (Mavericks) CSSP_1.6.0.tgz
Subversion source (username/password: readonly)
GitHub source https://github.com/Bioconductor-mirror/CSSP/tree/release-3.1
Package Short Url http://bioconductor.org/packages/CSSP/
Package Downloads Report Download Stats

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