# -------------------------------------------- # CITATION file created with {cffr} R package # See also: https://docs.ropensci.org/cffr/ # -------------------------------------------- cff-version: 1.2.0 message: 'To cite package "miceFast" in publications use:' type: software license: GPL-2.0-or-later title: 'miceFast: Fast Imputations Using ''Rcpp'' and ''Armadillo''' version: 0.8.2 doi: 10.32614/CRAN.package.miceFast abstract: Fast imputations under the object-oriented programming paradigm. Moreover there are offered a few functions built to work with popular R packages such as 'data.table' or 'dplyr'. The biggest improvement in time performance could be achieve for a calculation where a grouping variable have to be used. A single evaluation of a quantitative model for the multiple imputations is another major enhancement. A new major improvement is one of the fastest predictive mean matching in the R world because of presorting and binary search. authors: - family-names: Nasinski given-names: Maciej email: nasinski.maciej@gmail.com repository: https://CRAN.R-project.org/package=miceFast repository-code: https://github.com/Polkas/miceFast url: https://github.com/Polkas/miceFast date-released: '2022-11-17' contact: - family-names: Nasinski given-names: Maciej email: nasinski.maciej@gmail.com