Package: GMSimpute
Title: Generalized Mass Spectrum Missing Peaks Abundance Imputation
Version: 0.0.1.0
Authors@R: person("Qian", "Li", email = "qian.li10000@gmail.com", role = c("aut", "cre"))
Description: GMSimpute implements the Two-Step Lasso (TS-Lasso) and
        compound minimum to recover the abundance of missing peaks in
        mass spectrum analysis. TS-Lasso is a label-free 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.
Depends: R (>= 3.5.0)
License: GPL(>=2)
Encoding: UTF-8
LazyData: true
RoxygenNote: 6.1.0
Imports: utils, glmnet, ggplot2, reshape2
Config/pak/sysreqs: libicu-dev
Repository: https://qianli10000.r-universe.dev
Date/Publication: 2018-12-04 16:26:00 UTC
RemoteUrl: https://github.com/qianli10000/gmsimpute
RemoteRef: HEAD
RemoteSha: c0f55aa72c79ac90ad78d31041d7d355c2c638d9
NeedsCompilation: no
Packaged: 2026-06-23 08:11:49 UTC; root
Author: Qian Li [aut, cre]
Maintainer: Qian Li <qian.li10000@gmail.com>