pmm

DOI: 10.18129/B9.bioc.pmm    

This package is for version 3.8 of Bioconductor; for the stable, up-to-date release version, see pmm.

Parallel Mixed Model

Bioconductor version: 3.8

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 "3.5") and enter:

if (!requireNamespace("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 1.14.0
In Bioconductor since BioC 3.1 (R-3.2) (4 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_1.14.0.tar.gz
Windows Binary pmm_1.14.0.zip
Mac OS X 10.11 (El Capitan) pmm_1.14.0.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 http://bioconductor.org/packages/pmm/
Package Downloads Report Download Stats

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