To install this package, start R and enter:

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

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

INPower

An R package for computing the number of susceptibility SNPs

Bioconductor version: 3.2

An R package for computing the number of susceptibility SNPs and power of future studies

Author: Ju-Hyun Park

Maintainer: Bill Wheeler <wheelerb at imsweb.com>

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

To install this package, start R and enter:

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

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

browseVignettes("INPower")

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

Package Source	INPower_1.6.0.tar.gz
Windows Binary	INPower_1.6.0.zip
Mac OS X 10.6 (Snow Leopard)	INPower_1.6.0.tgz
Mac OS X 10.9 (Mavericks)	INPower_1.6.0.tgz
Subversion source	(username/password: readonly)
Git source	https://github.com/Bioconductor-mirror/INPower/tree/release-3.2
Package Short Url	http://bioconductor.org/packages/INPower/
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: