rama: Robust Analysis of MicroArrays

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.

AuthorRaphael Gottardo
Date of publicationNone
MaintainerRaphael Gottardo <raph@stat.ubc.ca>
LicenseGPL (>= 2)
Version1.48.0

View on Bioconductor

Files

rama/ChangeLog
rama/DESCRIPTION
rama/NAMESPACE
rama/R
rama/R/arrange.row.R rama/R/est.shift.R rama/R/fit.model.R rama/R/is.row.na.R rama/R/ls.effect.R rama/R/mat.mean.R rama/R/ratio.plot.R rama/R/weight.plot.R
rama/build
rama/build/vignette.rds
rama/data
rama/data/hiv.R
rama/inst
rama/inst/doc
rama/inst/doc/rama.R
rama/inst/doc/rama.Rnw
rama/inst/doc/rama.pdf
rama/man
rama/man/arrange.row.Rd rama/man/est.shift.Rd rama/man/fit.model.Rd rama/man/hiv.Rd rama/man/is.row.na.Rd rama/man/ls.effect.Rd rama/man/mat.mean.Rd rama/man/ratio.plot.Rd rama/man/weight.plot.Rd
rama/src
rama/src/estimation_slice.c
rama/src/ex_estimation_slice.c
rama/src/mean.sd.c
rama/src/reorder.c
rama/src/util.c
rama/src/util.h
rama/vignettes
rama/vignettes/chicago.bst
rama/vignettes/chicago.sty
rama/vignettes/rama.Rnw
rama/vignettes/robust_estimation.bib

Questions? Problems? Suggestions? or email at ian@mutexlabs.com.

Please suggest features or report bugs with the GitHub issue tracker.

All documentation is copyright its authors; we didn't write any of that.