To install this package, start R and enter:

## try http if https is not available
source("https://bioconductor.org/biocLite.R")
biocLite("metabomxtr")

In most cases, you don't need to download the package archive at all.

metabomxtr

A package to run mixture models for truncated metabolomics data with normal or lognormal distributions.

Bioconductor version: 3.1

The functions in this package return optimized parameter estimates and log likelihoods for mixture models of truncated data with normal or lognormal distributions.

Author: Michael Nodzenski, Anna Reisetter, Denise Scholtens

Maintainer: Michael Nodzenski <michael.nodzenski at northwestern.edu>

Citation (from within R, enter citation("metabomxtr")):

Installation

To install this package, start R and enter:

## try http if https is not available
source("https://bioconductor.org/biocLite.R")
biocLite("metabomxtr")

Documentation

To view documentation for the version of this package installed in your system, start R and enter:

browseVignettes("metabomxtr")

 

PDF R Script metabomxtr
PDF   Reference Manual

Details

biocViews MassSpectrometry, Metabolomics, Software
Version 1.2.0
In Bioconductor since BioC 3.0 (R-3.1) (1 year)
License GPL-2
Depends methods, Biobase
Imports optimx, Formula, plyr, multtest
LinkingTo
Suggests xtable
SystemRequirements
Enhances
URL
Depends On Me
Imports Me
Suggests Me
Build Report  

Package Archives

Follow Installation instructions to use this package in your R session.

Package Source metabomxtr_1.2.0.tar.gz
Windows Binary metabomxtr_1.2.0.zip
Mac OS X 10.6 (Snow Leopard) metabomxtr_1.2.0.tgz
Mac OS X 10.9 (Mavericks) metabomxtr_1.2.0.tgz
Subversion source (username/password: readonly)
Git source https://github.com/Bioconductor-mirror/metabomxtr/tree/release-3.1
Package Short Url http://bioconductor.org/packages/metabomxtr/
Package Downloads Report Download Stats

Documentation »

Bioconductor

R / CRAN packages and documentation

Support »

Please read the posting guide. Post questions about Bioconductor to one of the following locations:

Fred Hutchinson Cancer Research Center