GMSimpute: Generalized Mass Spectrum Missing Peaks Abundance Imputation

Two-Step Lasso (TS-Lasso) and compound minimum methods to recover the abundance of missing peaks in mass spectrum analysis. TS-Lasso is an imputation method that handles various types of missing peaks simultaneously. This package provides the procedure to generate missing peaks (or data) for simulation study, as well as a tool to estimate and visualize the proportion of missing at random.

Version: 0.0.1.0
Depends: R (≥ 3.5.0)
Imports: utils, glmnet, ggplot2, reshape2
Published: 2019-01-11
DOI: 10.32614/CRAN.package.GMSimpute
Author: Qian Li [aut, cre]
Maintainer: Qian Li <qian.li10000 at gmail.com>
License: GPL-2 | GPL-3 [expanded from: GPL (≥ 2)]
NeedsCompilation: no
CRAN checks: GMSimpute results

Documentation:

Reference manual: GMSimpute.pdf

Downloads:

Package source: GMSimpute_0.0.1.0.tar.gz
Windows binaries: r-devel: GMSimpute_0.0.1.0.zip, r-release: GMSimpute_0.0.1.0.zip, r-oldrel: GMSimpute_0.0.1.0.zip
macOS binaries: r-release (arm64): GMSimpute_0.0.1.0.tgz, r-oldrel (arm64): GMSimpute_0.0.1.0.tgz, r-release (x86_64): GMSimpute_0.0.1.0.tgz, r-oldrel (x86_64): GMSimpute_0.0.1.0.tgz

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