pmm

DOI: 10.18129/B9.bioc.pmm  

Parallel Mixed Model

Bioconductor version: Release (3.17)

The Parallel Mixed Model (PMM) approach is suitable for hit selection and cross-comparison of RNAi screens generated in experiments that are performed in parallel under several conditions. For example, we could think of the measurements or readouts from cells under RNAi knock-down, which are infected with several pathogens or which are grown from different cell lines.

Author: Anna Drewek

Maintainer: Anna Drewek <adrewek at stat.math.ethz.ch>

Installation

To install this package, start R (version "4.3") and enter:

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

BiocManager::install("pmm")

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("pmm")

 

PDF	R Script	User manual for R-Package PMM
PDF		Reference Manual
Text		NEWS

Details

biocViews	Regression, Software, SystemsBiology
Version	1.32.0
In Bioconductor since	BioC 3.1 (R-3.2) (8.5 years)
License	GPL-3
Depends	R (>= 2.10)
Imports	lme4, splines
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Build Report

Package Archives

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

Source Package	pmm_1.32.0.tar.gz
Windows Binary	pmm_1.32.0.zip
macOS Binary (x86_64)	pmm_1.32.0.tgz
macOS Binary (arm64)	pmm_1.32.0.tgz
Source Repository	git clone https://git.bioconductor.org/packages/pmm
Source Repository (Developer Access)	git clone git@git.bioconductor.org:packages/pmm
Bioc Package Browser	https://code.bioconductor.org/browse/pmm/
Package Short Url	https://bioconductor.org/packages/pmm/
Package Downloads Report	Download Stats
Old Source Packages for BioC 3.17	Source Archive