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: 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.
Depends: R (>= 3.5.0)
License: GPL (>= 2)
Encoding: UTF-8
LazyData: true
RoxygenNote: 6.1.1
Imports: utils, glmnet, ggplot2, reshape2
NeedsCompilation: no
Packaged: 2019-01-06 14:16:04 UTC; liq
Author: Qian Li [aut, cre]
Maintainer: Qian Li <qian.li10000@gmail.com>
Repository: CRAN
Date/Publication: 2019-01-11 17:00:25 UTC
Built: R 4.6.0; ; 2025-11-02 04:05:25 UTC; windows
