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 |
| 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 |
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