pmm

Parallel Mixed Model

Bioconductor version: Release (3.20)

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>

Citation (from within R, enter citation("pmm")):

Installation

To install this package, start R (version "4.4") 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")

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

Need some help? Ask on the Bioconductor Support site!

Details

biocViews	Regression, Software, SystemsBiology
Version	1.38.0
In Bioconductor since	BioC 3.1 (R-3.2) (9.5 years)
License	GPL-3
Depends	R (>= 2.10)
Imports	lme4, splines
System Requirements
URL

Suggests
Linking To
Enhances
Depends On Me
Imports Me
Suggests Me
Links To Me
Build Report	Build Report

Package Archives

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

Source Package	pmm_1.38.0.tar.gz
Windows Binary (x86_64)	pmm_1.38.0.zip
macOS Binary (x86_64)	pmm_1.38.0.tgz
macOS Binary (arm64)	pmm_1.38.0.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