miceFast: Fast Imputations Using 'Rcpp' and 'Armadillo'

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.

Package details

AuthorMaciej Nasinski [aut, cre]
MaintainerMaciej Nasinski <nasinski.maciej@gmail.com>
LicenseGPL (>= 2)
Version0.7.1
URL https://github.com/Polkas/miceFast
Package repositoryView on CRAN
Installation Install the latest version of this package by entering the following in R:
install.packages("miceFast")

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miceFast documentation built on July 11, 2021, 1:06 a.m.