To install this package, start R and enter:

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

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

BAC

Bayesian Analysis of Chip-chip experiment

Bioconductor version: Release (3.4)

This package uses a Bayesian hierarchical model to detect enriched regions from ChIP-chip experiments

Author: Raphael Gottardo

Maintainer: Raphael Gottardo <raph at stat.ubc.ca>

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

To install this package, start R and enter:

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

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

browseVignettes("BAC")

PDF	R Script	1. Primer
PDF		Reference Manual

biocViews	Microarray, Software, Transcription
Version	1.34.0
In Bioconductor since	BioC 2.2 (R-2.7) (9 years)
License	Artistic-2.0
Depends	R (>= 2.10)
Imports
LinkingTo
Suggests
SystemRequirements
Enhances
URL
Depends On Me
Imports Me
Suggests Me
Build Report

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

Package Source	BAC_1.34.0.tar.gz
Windows Binary	BAC_1.34.0.zip (32- & 64-bit)
Mac OS X 10.9 (Mavericks)	BAC_1.34.0.tgz
Subversion source	(username/password: readonly)
Git source	https://github.com/Bioconductor-mirror/BAC/tree/release-3.4
Package Short Url	http://bioconductor.org/packages/BAC/
Package Downloads Report	Download Stats

Documentation »

Bioconductor

R / CRAN packages and documentation

Please read the posting guide. Post questions about Bioconductor to one of the following locations: