Package: GMSimpute 0.0.1.0

GMSimpute: Generalized Mass Spectrum Missing Peaks Abundance Imputation

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.

Authors:Qian Li [aut, cre]

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Peer review:

Bug tracker:https://github.com/qianli10000/gmsimpute/issues

On CRAN:

4 exports 0.62 score 40 dependencies 21 scripts 158 downloads

Last updated 6 years agofrom:c0f55aa72c. Checks:OK: 1 ERROR: 6. Indexed: yes.

Exports:GMS.LassoMAR.estmissing.simTS.Lasso

Dependencies:clicodetoolscolorspacefansifarverforeachggplot2glmnetgluegtableisobanditeratorslabelinglatticelifecyclemagrittrMASSMatrixmgcvmunsellnlmepillarpkgconfigplyrR6RColorBrewerRcppRcppEigenreshape2rlangscalesshapestringistringrsurvivaltibbleutf8vctrsviridisLitewithr