# -------------------------------------------- # CITATION file created with {cffr} R package # See also: https://docs.ropensci.org/cffr/ # -------------------------------------------- cff-version: 1.2.0 message: 'To cite package "GMSimpute" in publications use:' type: software title: 'GMSimpute: Generalized Mass Spectrum Missing Peaks Abundance Imputation' version: 0.0.1.0 doi: 10.32614/CRAN.package.GMSimpute abstract: 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: - family-names: Li given-names: Qian email: qian.li10000@gmail.com repository: https://qianli10000.r-universe.dev commit: c0f55aa72c79ac90ad78d31041d7d355c2c638d9 contact: - family-names: Li given-names: Qian email: qian.li10000@gmail.com