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

A Hidden Markov Model for high throughput genotyping arrays

Bioconductor version: Release (3.5)

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	1.38.0
In Bioconductor since	BioC 2.1 (R-2.6) (10 years)
License	LGPL-2
Depends	R (>= 3.0.0), BiocGenerics(>= 0.13.6), GenomicRanges(>= 1.27.6), SummarizedExperiment(>= 1.5.3)
Imports	Biobase, S4Vectors(>= 0.9.25), IRanges(>= 1.14.0), oligoClasses(>= 1.31.1), foreach, matrixStats, data.table, grid, lattice, methods, GenomeInfoDb(>= 1.11.4), crlmm, tools, stats, utils, BSgenome.Hsapiens.UCSC.hg18
LinkingTo
Suggests	RUnit, SNPchip, human610quadv1bCrlmm, ArrayTV
SystemRequirements
Enhances	doMC, doMPI, doSNOW, doParallel, doRedis
URL
Depends On Me	MinimumDistance
Imports Me
Suggests Me	CNPBayes, oligoClasses
Build Report

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

Source Package	VanillaICE_1.38.0.tar.gz
Windows Binary	VanillaICE_1.38.0.zip (32- & 64-bit)
Mac OS X 10.11 (El Capitan)	VanillaICE_1.38.0.tgz
Source Repository	git clone https://git.bioconductor.org/packages/VanillaICE
Package Short Url	http://bioconductor.org/packages/VanillaICE/
Package Downloads Report	Download Stats

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