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.
Versions across snapshots
| Version | Repository | File | Size |
|---|---|---|---|
0.0.1.0 |
rolling source/ R- | GMSimpute_0.0.1.0.tar.gz |
32.5 KiB |
0.0.1.0 |
rolling linux/jammy R-4.5 | GMSimpute_0.0.1.0.tar.gz |
66.4 KiB |
0.0.1.0 |
rolling linux/noble R-4.5 | GMSimpute_0.0.1.0.tar.gz |
66.3 KiB |
0.0.1.0 |
latest source/ R- | GMSimpute_0.0.1.0.tar.gz |
32.5 KiB |
0.0.1.0 |
latest linux/jammy R-4.5 | GMSimpute_0.0.1.0.tar.gz |
66.4 KiB |
0.0.1.0 |
latest linux/noble R-4.5 | GMSimpute_0.0.1.0.tar.gz |
66.3 KiB |
0.0.1.0 |
2026-04-23 source/ R- | GMSimpute_0.0.1.0.tar.gz |
32.5 KiB |
0.0.1.0 |
2026-04-09 windows/windows R-4.5 | GMSimpute_0.0.1.0.zip |
70.0 KiB |
0.0.1.0 |
2025-04-20 source/ R- | GMSimpute_0.0.1.0.tar.gz |
32.5 KiB |