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.
This package is for version 3.1 of Bioconductor; for the stable, up-to-date release version, see rama.
Bioconductor version: 3.1
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")
):
To install this package, start R and enter:
## try http:// if https:// URLs are not supported source("https://bioconductor.org/biocLite.R") biocLite("rama")
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 |
biocViews | Microarray, Preprocessing, QualityControl, Software, TwoChannel |
Version | 1.42.0 |
In Bioconductor since | BioC 1.6 (R-2.1) or earlier (> 11 years) |
License | GPL (>= 2) |
Depends | R (>= 2.5.0) |
Imports | |
LinkingTo | |
Suggests | |
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Enhances | |
URL | |
Depends On Me | bridge |
Imports Me | |
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Build Report |
Follow Installation instructions to use this package in your R session.
Package Source | rama_1.42.0.tar.gz |
Windows Binary | rama_1.42.0.zip (32- & 64-bit) |
Mac OS X 10.6 (Snow Leopard) | rama_1.42.0.tgz |
Mac OS X 10.9 (Mavericks) | rama_1.42.0.tgz |
Subversion source | (username/password: readonly) |
Git source | https://github.com/Bioconductor-mirror/rama/tree/release-3.1 |
Package Short Url | http://bioconductor.org/packages/rama/ |
Package Downloads Report | Download Stats |
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