This package is for version 3.8 of Bioconductor; for the stable, up-to-date release version, see rama.
Bioconductor version: 3.8
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 (version "3.5") and enter:
if (!requireNamespace("BiocManager", quietly = TRUE)) install.packages("BiocManager") BiocManager::install("rama")
For older versions of R, please refer to the appropriate Bioconductor release.
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 | 1.56.0 |
In Bioconductor since | BioC 1.6 (R-2.1) or earlier (> 14 years) |
License | GPL (>= 2) |
Depends | R (>= 2.5.0) |
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Depends On Me | bridge |
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Build Report |
Follow Installation instructions to use this package in your R session.
Source Package | rama_1.56.0.tar.gz |
Windows Binary | rama_1.56.0.zip |
Mac OS X 10.11 (El Capitan) | rama_1.56.0.tgz |
Source Repository | git clone https://git.bioconductor.org/packages/rama |
Source Repository (Developer Access) | git clone git@git.bioconductor.org:packages/rama |
Package Short Url | http://bioconductor.org/packages/rama/ |
Package Downloads Report | Download Stats |
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