To install this package, start R and enter:

## try http:// if https:// URLs are not supported
source("https://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 (3.5)

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")):

To install this package, start R and enter:

## try http:// if https:// URLs are not supported
source("https://bioconductor.org/biocLite.R")
biocLite("CSSP")

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

biocViews	Bayesian, ChIPSeq, QualityControl, Sequencing, Software
Version	1.14.0
In Bioconductor since	BioC 2.13 (R-3.0) (4 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

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

Source Package	CSSP_1.14.0.tar.gz
Windows Binary	CSSP_1.14.0.zip (32- & 64-bit)
Mac OS X 10.11 (El Capitan)	CSSP_1.14.0.tgz
Source Repository	git clone https://git.bioconductor.org/packages/CSSP
Package Short Url	http://bioconductor.org/packages/CSSP/
Package Downloads Report	Download Stats

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