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

 

   

This is the development version of rama; for the stable release version, see rama.

Robust Analysis of MicroArrays

Bioconductor version: Development (3.5)

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")

 

PDF R Script rama Tutorial
PDF   Reference Manual

Details

biocViews Microarray, Preprocessing, QualityControl, Software, TwoChannel
Version 1.49.0
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_1.49.0.tar.gz
Windows Binary rama_1.49.0.zip (32- & 64-bit)
Mac OS X 10.9 (Mavericks) rama_1.49.0.tgz
Subversion source (username/password: readonly)
Git source https://github.com/Bioconductor-mirror/rama
Package Short Url http://bioconductor.org/packages/rama/
Package Downloads Report Download Stats

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