To install this package, start R and enter:
## try http if https is not available
source("https://bioconductor.org/biocLite.R")
biocLite("pmm")
In most cases, you don't need to download the package archive at all.
pmm
Parallel Mixed Model
Bioconductor version: 3.1
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 and enter:
## try http if https is not available
source("https://bioconductor.org/biocLite.R")
biocLite("pmm")
Documentation
To view documentation for the version of this package installed in your system, start R and enter:
browseVignettes("pmm")
| R Script | User manual for R-Package PMM | |
| Reference Manual | ||
| Text | NEWS |
Details
| biocViews | Regression, Software, SystemsBiology |
| Version | 1.0.0 |
| In Bioconductor since | BioC 3.1 (R-3.2) (< 6 months) |
| License | GPL-3 |
| Depends | R (>= 2.10) |
| Imports | lme4, splines |
| LinkingTo | |
| Suggests | |
| SystemRequirements | |
| Enhances | |
| URL | |
| Depends On Me | |
| Imports Me | |
| Suggests Me | |
| Build Report |
Package Archives
Follow Installation instructions to use this package in your R session.
| Package Source | pmm_1.0.0.tar.gz |
| Windows Binary | pmm_1.0.0.zip |
| Mac OS X 10.6 (Snow Leopard) | pmm_1.0.0.tgz |
| Mac OS X 10.9 (Mavericks) | pmm_1.0.0.tgz |
| Subversion source | (username/password: readonly) |
| Git source | https://github.com/Bioconductor-mirror/pmm/tree/release-3.1 |
| Package Short Url | http://bioconductor.org/packages/pmm/ |
| Package Downloads Report | Download Stats |
Documentation »
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