pmm
This is the development version of pmm; for the stable release version, see pmm.
Parallel Mixed Model
DOI: 10.18129/B9.bioc.pmm
Bioconductor 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("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.
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 | R Script | |
| Reference Manual | ||
| NEWS | Text |
Details
| biocViews | Regression, Software, SystemsBiology |
| Version | 1.41.0 |
| In Bioconductor since | BioC 3.1 (R-3.2) (10.5 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.
| Source Package | pmm_1.41.0.tar.gz |
| Windows Binary (x86_64) | pmm_1.41.0.zip |
| macOS Binary (x86_64) | pmm_1.41.0.tgz |
| macOS Binary (arm64) | pmm_1.41.0.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 |