pmm

DOI: 10.18129/B9.bioc.pmm    

This package is for version 3.15 of Bioconductor; for the stable, up-to-date release version, see pmm.

Parallel Mixed Model

Bioconductor version: 3.15

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 "4.2") 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	1.28.0
In Bioconductor since	BioC 3.1 (R-3.2) (7.5 years)
License	GPL-3
Depends	R (>= 2.10)
Imports	lme4, splines
LinkingTo
Suggests
SystemRequirements
Enhances
URL
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	pmm_1.28.0.tar.gz
Windows Binary	pmm_1.28.0.zip
macOS Binary (x86_64)	pmm_1.28.0.tgz
Source Repository	git clone https://git.bioconductor.org/packages/pmm
Source Repository (Developer Access)	git clone git@git.bioconductor.org:packages/pmm
Package Short Url	https://bioconductor.org/packages/pmm/
Package Downloads Report	Download Stats