To install this package, start R and enter:

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

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

SSPA

General Sample Size and Power Analysis for Microarray and Next-Generation Sequencing Data

Bioconductor version: 3.2

General Sample size and power analysis for microarray and next-generation sequencing data.

Author: Maarten van Iterson

Maintainer: Maarten van Iterson <mviterson at gmail.com>

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

To install this package, start R and enter:

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

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

browseVignettes("SSPA")

biocViews	GeneExpression, Microarray, RNASeq, Software, StatisticalMethod
Version	2.10.0
In Bioconductor since	BioC 2.4 (R-2.9) (7 years)
License	GPL (>= 2)
Depends	R (>= 2.12), methods, qvalue, lattice, limma
Imports	graphics, stats
LinkingTo
Suggests	BiocStyle, genefilter, edgeR, DESeq
SystemRequirements
Enhances
URL	http://www.humgen.nl/MicroarrayAnalysisGroup.html
Depends On Me	metaX
Imports Me
Suggests Me
Build Report

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

Package Source	SSPA_2.10.0.tar.gz
Windows Binary	SSPA_2.10.0.zip (32- & 64-bit)
Mac OS X 10.6 (Snow Leopard)	SSPA_2.10.0.tgz
Mac OS X 10.9 (Mavericks)	SSPA_2.10.0.tgz
Subversion source	(username/password: readonly)
Git source	https://github.com/Bioconductor-mirror/SSPA/tree/release-3.2
Package Short Url	http://bioconductor.org/packages/SSPA/
Package Downloads Report	Download Stats

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