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GMSimpute  

Generalized Mass Spectrum Missing Peaks Abundance Imputation
View on CRAN: Click here


Download and install GMSimpute package within the R console
Install from CRAN:
install.packages("GMSimpute")

Install from Github:
library("remotes")
install_github("cran/GMSimpute")

Install by package version:
library("remotes")
install_version("GMSimpute", "0.0.1.0")



Attach the package and use:
library("GMSimpute")
Maintained by
Qian Li
[Scholar Profile | Author Map]
All associated links for this package
First Published: 2019-01-11
Latest Update: 2019-01-11
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.
How to cite:
Qian Li (2019). GMSimpute: Generalized Mass Spectrum Missing Peaks Abundance Imputation. R package version 0.0.1.0, https://cran.r-project.org/web/packages/GMSimpute. Accessed 05 Jun. 2026.
Previous versions and publish date:
No previous versions
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Other R packages that GMSimpute depends, imports, suggests or enhances
Complete documentation for GMSimpute
Functions, R codes and Examples using the GMSimpute R package
Some associated functions: GMS.Lasso . MAR.est . TS.Lasso . missing.sim . replicates . tcga.bc.full . tcga.bc . 
Some associated R codes: GMS.Lasso.R . MAR.est.R . TS.Lasso.R . missing.sim.R . replicates.R . tcga.bc.R . tcga.bc.full.R .  Full GMSimpute package functions and examples
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