To install this package, start R and enter:

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

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

VanillaICE

This package is for version 3.0 of Bioconductor; for the stable, up-to-date release version, see VanillaICE.

A Hidden Markov Model for high throughput genotyping arrays

Bioconductor version: 3.0

Hidden Markov Models for characterizing chromosomal alterations in high throughput SNP arrays

Author: Robert Scharpf <rscharpf at jhu.edu>, Kevin Scharpf, and Ingo Ruczinski <ingo at jhsph.edu>

Maintainer: Robert Scharpf <rscharpf at jhsph.edu>

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

To install this package, start R and enter:

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

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

browseVignettes("VanillaICE")

biocViews	CopyNumberVariation, Software
Version	1.28.5
In Bioconductor since	BioC 2.1 (R-2.6) (8.5 years)
License	LGPL-2
Depends	R (>= 3.0.0), GenomicRanges
Imports	Biobase, oligoClasses(>= 1.24.0), IRanges(>= 1.14.0), S4Vectors, foreach, matrixStats, data.table, grid, lattice, methods, GenomeInfoDb, crlmm
LinkingTo
Suggests	RUnit, SNPchip, human610quadv1bCrlmm, BSgenome.Hsapiens.UCSC.hg18, ArrayTV
SystemRequirements
Enhances	doMC, doMPI, doSNOW, doParallel, doRedis
URL
Depends On Me
Imports Me	MinimumDistance
Suggests Me
Build Report

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

Package Source	VanillaICE_1.28.5.tar.gz
Windows Binary	VanillaICE_1.28.5.zip (32- & 64-bit)
Mac OS X 10.6 (Snow Leopard)	VanillaICE_1.28.5.tgz
Mac OS X 10.9 (Mavericks)	VanillaICE_1.28.5.tgz
Subversion source	(username/password: readonly)
Git source	https://github.com/Bioconductor-mirror/VanillaICE/tree/release-3.0
Package Short Url	http://bioconductor.org/packages/VanillaICE/
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: