Package: MetaClean
Type: Package
Title: Detection of Low-Quality Peaks in Untargeted Metabolomics Data
Version: 1.0.0
Author: Kelsey Chetnik
Maintainer: Kelsey Chetnik <kchetnik73@gmail.com>
Description: Utilizes 11 peak quality metrics and 8 diverse machine learning algorithms to build a classifier for the automatic
  assessment of peak integration quality of peaks from untargeted metabolomics analyses.
  The 12 peak quality metrics were adapted from those defined in the following references:
  Zhang, W., & Zhao, P.X. (2014) <doi:10.1186/1471-2105-15-S11-S5>
  Toghi Eshghi, S., Auger, P., & Mathews, W.R. (2018) <doi:10.1186/s12014-018-9209-x>.
biocViews: S4Vectors
Imports: reshape2, knitr, ggplot2, plotrix, tools, utils, klaR,
        fastAdaboost, rpart, randomForest, kernlab, BiocStyle, methods,
        graph, Rgraphviz, caret
Depends: R (>= 3.5.0), MLmetrics, xcms
Suggests: markdown
License: GPL-3
Encoding: UTF-8
LazyData: true
RoxygenNote: 7.1.0
VignetteBuilder: knitr
NeedsCompilation: no
Packaged: 2020-09-11 16:12:51 UTC; kelsey
Repository: CRAN
Date/Publication: 2020-09-11 18:50:03 UTC
Built: R 4.0.2; ; 2020-09-12 11:13:50 UTC; unix
