To install this package, start R and enter:
## try http:// if https:// URLs are not supported
source("https://bioconductor.org/biocLite.R")
biocLite("rama")
In most cases, you don't need to download the package archive at all.
rama
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Robust Analysis of MicroArrays
Bioconductor version: Release (3.3)
Robust estimation of cDNA microarray intensities with replicates. The package uses a Bayesian hierarchical model for the robust estimation. Outliers are modeled explicitly using a t-distribution, and the model also addresses classical issues such as design effects, normalization, transformation, and nonconstant variance.
Author: Raphael Gottardo
Maintainer: Raphael Gottardo <raph at stat.ubc.ca>
Citation (from within R,
enter citation("rama")):
Installation
To install this package, start R and enter:
## try http:// if https:// URLs are not supported
source("https://bioconductor.org/biocLite.R")
biocLite("rama")
Documentation
To view documentation for the version of this package installed in your system, start R and enter:
browseVignettes("rama")
| R Script | rama Tutorial | |
| Reference Manual |
Details
| biocViews | Microarray, Preprocessing, QualityControl, Software, TwoChannel |
| Version | 1.46.0 |
| In Bioconductor since | BioC 1.6 (R-2.1) or earlier (> 11.5 years) |
| License | GPL (>= 2) |
| Depends | R (>= 2.5.0) |
| Imports | |
| LinkingTo | |
| Suggests | |
| SystemRequirements | |
| Enhances | |
| URL | |
| Depends On Me | bridge |
| Imports Me | |
| Suggests Me | |
| Build Report |
Package Archives
Follow Installation instructions to use this package in your R session.
| Package Source | rama_1.46.0.tar.gz |
| Windows Binary | rama_1.46.0.zip (32- & 64-bit) |
| Mac OS X 10.9 (Mavericks) | rama_1.46.0.tgz |
| Subversion source | (username/password: readonly) |
| Git source | https://github.com/Bioconductor-mirror/rama/tree/release-3.3 |
| Package Short Url | http://bioconductor.org/packages/rama/ |
| Package Downloads Report | Download Stats |
Documentation »
Bioconductor
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Support »
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