lapmix: Laplace Mixture Model in Microarray Experiments
Version 1.42.0

Laplace mixture modelling of microarray experiments. A hierarchical Bayesian approach is used, and the hyperparameters are estimated using empirical Bayes. The main purpose is to identify differentially expressed genes.

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AuthorYann Ruffieux, contributions from Debjani Bhowmick, Anthony C. Davison, and Darlene R. Goldstein
Bioconductor views DifferentialExpression Microarray OneChannel
Date of publicationNone
MaintainerYann Ruffieux <yann.ruffieux@epfl.ch>
LicenseGPL (>= 2)
Version1.42.0
URL http://www.r-project.org http://www.bioconductor.org http://stat.epfl.ch
Package repositoryView on Bioconductor
InstallationInstall the latest version of this package by entering the following in R:
source("https://bioconductor.org/biocLite.R")
biocLite("lapmix")

Man pages

lapmix.Fit: Empirical Bayes Statistics for Differential Expression under...
lapmix-internal: Internal Lapmix Functions
laptopTable: Table of Top Genes from Laplace Linear Model Fit
lap.volcanoplot: Laplace Volcano Plot

Functions

integrand Man page Source code
lap.maxlike Man page Source code
lap.volcanoplot Man page Source code
lapmix.Fit Man page Source code
laptopTable Man page Source code
marginal.loglike Man page Source code
post_odds Man page Source code
var.loglike Man page Source code

Files

DESCRIPTION
NAMESPACE
R
R/lap.volcanoplot.R
R/lapmix.Fit.R
R/laptopTable.R
R/lp.estimates.R
R/lp.marginals.R
R/post.odds.R
build
build/vignette.rds
inst
inst/doc
inst/doc/lapmix-example.R
inst/doc/lapmix-example.Rnw
inst/doc/lapmix-example.pdf
man
man/lap.volcanoplot.Rd
man/lapmix-internal.Rd
man/lapmix.Fit.Rd
man/laptopTable.Rd
vignettes
vignettes/lapmix-example.Rnw
lapmix documentation built on May 20, 2017, 9:43 p.m.