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

 

   

This is the development version of SSPA; for the stable release version, see SSPA.

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

Bioconductor version: Development (3.4)

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")):

Installation

To install this package, start R and enter:

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

Documentation

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

browseVignettes("SSPA")

 

PDF R Script SSPA Overview
PDF   Reference Manual
Text   NEWS

Details

biocViews GeneExpression, Microarray, RNASeq, Software, StatisticalMethod
Version 2.13.0
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
Imports Me
Suggests Me
Build Report  

Package Archives

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

Package Source SSPA_2.13.0.tar.gz
Windows Binary SSPA_2.13.0.zip (32- & 64-bit)
Mac OS X 10.9 (Mavericks) SSPA_2.13.0.tgz
Subversion source (username/password: readonly)
Git source https://github.com/Bioconductor-mirror/SSPA
Package Short Url http://bioconductor.org/packages/SSPA/
Package Downloads Report Download Stats

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