This is the development version of pmm; for the stable release version, see pmm.
Parallel Mixed ModelBioconductor version: Development (3.22)
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, entercitation("pmm")
): Installation
To install this package, start R (version "4.5") and enter:
if (!require("BiocManager", quietly = TRUE))
install.packages("BiocManager")
# The following initializes usage of Bioc devel
BiocManager::install(version='devel')
BiocManager::install("pmm")
For older versions of R, please refer to the appropriate Bioconductor release.
DocumentationTo view documentation for the version of this package installed in your system, start R and enter:
browseVignettes("pmm")
Details biocViews Regression, Software, SystemsBiology Version 1.41.0 In Bioconductor since BioC 3.1 (R-3.2) (10 years) License GPL-3 Depends R (>= 2.10) Imports lme4, splines System Requirements URL See More 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.
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