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This is the development version of pmm; for the stable release version, see pmm.

Parallel Mixed Model

Bioconductor version: Development (3.19)

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>

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


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

if (!require("BiocManager", quietly = TRUE))

# The following initializes usage of Bioc devel


For older versions of R, please refer to the appropriate Bioconductor release.


To view documentation for the version of this package installed in your system, start R and enter:

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


biocViews Regression, Software, SystemsBiology
Version 1.35.0
In Bioconductor since BioC 3.1 (R-3.2) (9 years)
License GPL-3
Depends R (>= 2.10)
Imports lme4, splines
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