Package: NormalizeMets
Type: Package
Title: Analysis of Metabolomics Data
Version: 0.25
Date: 2018-03-21
Author: Alysha M De Livera, Gavriel Olshansky
Maintainer: Alysha M De Livera <alyshad@unimelb.edu.au>
Description: Metabolomics data are inevitably subject to a component of unwanted
    variation, due to factors such as batch effects, matrix effects, and confounding
    biological variation. This package is a collection of functions designed to 
    implement, assess, and choose a suitable normalization method 
    for a given metabolomics study (De Livera et al (2015) <doi:10.1021/ac502439y>). 
License: GPL (>= 2)
LazyLoad: yes
LazyData: true
VignetteBuilder: knitr
Depends: R (>= 3.4.0)
Imports: impute, crmn, limma, plotly, e1071, AUC, htmlwidgets, ggplot2,
        GGally, grid, rmarkdown, knitr
RoxygenNote: 6.0.1
NeedsCompilation: no
Packaged: 2018-03-23 07:43:53 UTC; alyshad
Repository: CRAN
Date/Publication: 2018-03-23 08:58:27 UTC
Built: R 3.4.4; ; 2019-04-25 22:52:06 UTC; windows
