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RPA

This is the released version of RPA; for the devel version, see RPA.

All Bioconductor versions of RPA

3.24 (devel), 3.23 (release), 3.22, 3.21, 3.20, 3.19, 3.18, 3.17, 3.16, 3.15, 3.14, 3.13, 3.12, 3.11, 3.10, 3.9, 3.8, 3.7, 3.6, 3.5, 3.4, 3.3, 3.2, 3.1, 3.0, 2.14, 2.13, 2.12, 2.11, 2.10, 2.9, 2.8, 2.7, 2.6, 2.5

RPA: Robust Probabilistic Averaging for probe-level analysis

Bioconductor version: 3.23 · Package version: 1.68.0

Probabilistic analysis of probe reliability and differential gene expression on short oligonucleotide arrays.

Author: Leo Lahti [aut, cre] ORCID iD ORCID: 0000-0001-5537-637X

Maintainer: Leo Lahti <leo.lahti at iki.fi>

DOI: 10.18129/B9.bioc.RPA

Citation

From within R, enter citation("RPA"):

Leo Lahti. RPA: RPA: Robust Probabilistic Averaging for probe-level analysis. doi:10.18129/B9.bioc.RPA, R package version 1.68.0, https://bioconductor.org/packages/RPA.

Generated from the package metadata; it may differ from the package's own citation.

Installation

To install this package, start R (version "4.6") and enter:

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

BiocManager::install("RPA")

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

Details

Version1.68.0
LicenseBSD_2_clause + file LICENSE
URLhttps://github.com/antagomir/RPA
Bug Reportshttps://github.com/antagomir/RPA
Last updated2026-04-28
In Bioconductor sinceBioC 2.5 or earlier (R-2.10) (16 years)
Downloads rank748 of 2,418
Source branchRELEASE_3_23
Build report Bioconductor build system, r-universe
biocViewsGeneExpression, Microarray, Preprocessing, QualityControl, Software
Package Short Url https://bioconductor.org/packages/RPA/

Documentation

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

browseVignettes("RPA")
Robust Probabilistic Averaging (RPA) HTML
Reference ManualPDF
NEWSText

Download

Follow the installation instructions to use this package in your R session.

Source packageRPA_1.68.0.tar.gz
Windows binary (x86_64)RPA_1.68.0.zip
macOS binary (arm64)RPA_1.68.0.tgz
macOS binary (x86_64)RPA_1.68.0.tgz
Source Repositorygit clone https://git.bioconductor.org/packages/RPA
Source Repository (Developer Access)git clone git@git.bioconductor.org:packages/RPA
Package Downloads ReportDownload Stats
Dependencies

Depends: R (>= 3.1.1), affy, BiocGenerics, BiocStyle, methods, rmarkdown

Imports: phyloseq

Suggests: knitr, parallel

Reverse dependencies

Depends On Me (1): prebs