To install this package, start R and enter:

## try http if https is not available
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: 3.1

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")):

Installation

To install this package, start R and enter:

## try http if https is not available
source("https://bioconductor.org/biocLite.R")
biocLite("BAC")

Documentation

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

Details

biocViews Microarray, Software, Transcription
Version 1.28.0
In Bioconductor since BioC 2.2 (R-2.7) (7.5 years)
License Artistic-2.0
Depends R (>= 2.10)
Imports
LinkingTo
Suggests
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 BAC_1.28.0.tar.gz
Windows Binary BAC_1.28.0.zip (32- & 64-bit)
Mac OS X 10.6 (Snow Leopard) BAC_1.28.0.tgz
Mac OS X 10.9 (Mavericks) BAC_1.28.0.tgz
Subversion source (username/password: readonly)
Git source https://github.com/Bioconductor-mirror/BAC/tree/release-3.1
Package Short Url http://bioconductor.org/packages/BAC/
Package Downloads Report Download Stats

Documentation »

Bioconductor

R / CRAN packages and documentation

Support »

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

Fred Hutchinson Cancer Research Center