pmm
Parallel Mixed Model
Bioconductor version: Release (3.17)
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 "4.3") 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 | R Script | |
| Reference Manual | ||
| NEWS | Text |
Details
| biocViews | Regression, Software, SystemsBiology |
| Version | 1.32.0 |
| In Bioconductor since | BioC 3.1 (R-3.2) (8.5 years) |
| License | GPL-3 |
| Depends | R (>= 2.10) |
| Imports | lme4, splines |
| Linking To | |
| Suggests | |
| System Requirements | |
| Enhances | |
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See More
| Depends On Me | |
| Imports Me | |
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| Links To Me | |
| Build Report |
Package Archives
Follow Installation instructions to use this package in your R session.
| Source Package | pmm_1.32.0.tar.gz |
| Windows Binary | pmm_1.32.0.zip (64-bit only) |
| macOS Binary (x86_64) | pmm_1.32.0.tgz |
| macOS Binary (arm64) | pmm_1.32.0.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 |