SSPA

DOI: 10.18129/B9.bioc.SSPA    

This package is for version 3.12 of Bioconductor; for the stable, up-to-date release version, see SSPA.

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

Bioconductor version: 3.12

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>

Installation

To install this package, start R (version "4.0") and enter:

if (!requireNamespace("BiocManager", quietly = TRUE))
    install.packages("BiocManager")

BiocManager::install("SSPA")

For older versions of R, please refer to the appropriate Bioconductor release.

Documentation

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

browseVignettes("SSPA")

 

HTML	R Script	Power and sample size analysis, Microarray data, RNAseq data
PDF		Reference Manual
Text		NEWS

Details

biocViews	GeneExpression, ImmunoOncology, Microarray, RNASeq, Software, StatisticalMethod
Version	2.30.0
In Bioconductor since	BioC 2.4 (R-2.9) (12 years)
License	GPL (>= 2)
Depends	R (>= 2.12), methods
Imports	graphics, stats, qvalue, lattice, limma
LinkingTo
Suggests	BiocStyle, knitr, rmarkdown, genefilter, edgeR, DESeq
SystemRequirements
Enhances
URL	http://www.humgen.nl/MicroarrayAnalysisGroup.html
Depends On Me
Imports Me
Suggests Me
Links To Me
Build Report

Package Archives

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

Source Package	SSPA_2.30.0.tar.gz
Windows Binary	SSPA_2.30.0.zip (32- & 64-bit)
macOS 10.13 (High Sierra)	SSPA_2.30.0.tgz
Source Repository	git clone https://git.bioconductor.org/packages/SSPA
Source Repository (Developer Access)	git clone git@git.bioconductor.org:packages/SSPA
Package Short Url	https://bioconductor.org/packages/SSPA/
Package Downloads Report	Download Stats