# ------------------------------------------------ # CITATION.cff file created with {cffr} R package # See also: https://docs.ropensci.org/cffr/ # ------------------------------------------------ cff-version: 1.2.0 message: 'To cite package "mvPred" in publications use:' type: software license: MIT title: 'mvPred: Methods for Handling Missing Values in Linear Modeling' version: 0.1.0 doi: 10.32614/CRAN.package.mvPred abstract: Provides user-friendly methods for handling missing data in regression modeling, including available-case linear regression, multiple imputation, random-forest imputation, and the Tower method. Implemented approaches include chained-equation imputation described by van Buuren and Groothuis-Oudshoorn (2011) , multiple imputation described by Honaker, King and Blackwell (2011) , random-forest imputation described by Stekhoven and Buehlmann (2012) , and the Tower method described by Matloff and Mohanty (2023) . authors: - family-names: Matloff given-names: Norman email: nsmatloff@ucdavis.edu - family-names: Mascarenhas given-names: Cynthia email: cin22jan@gmail.com - family-names: Ouattara given-names: Billy email: ouattarabilly33@hotmail.com - family-names: Veluri given-names: Alekya email: alekyaveluri@gmail.com repository: https://matloff.r-universe.dev repository-code: https://github.com/matloff/mvPred commit: 5021b9ac2170d64f75692363f35a32d7871c004e url: https://github.com/matloff/mvPred date-released: '2026-09-20' contact: - family-names: Ouattara given-names: Billy email: ouattarabilly33@hotmail.com