Package: miceFast 0.9.1

Maciej Nasinski

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 can be achieved for a calculation where a grouping variable is 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:Maciej Nasinski [aut, cre]

miceFast_0.9.1.tar.gz
miceFast_0.9.1.tar.gz(r-4.7-arm64)miceFast_0.9.1.tar.gz(r-4.7-x86_64)miceFast_0.9.1.tar.gz(r-4.6-arm64)miceFast_0.9.1.tar.gz(r-4.6-x86_64)
miceFast_0.9.1.tgz(r-4.6-emscripten)
manual.pdf |manual.html✨
card.svg |card.png
miceFast/json (API)
NEWS

# Install 'miceFast' in R:
install.packages('miceFast', repos = c('https://cran.r-universe.dev', 'https://cloud.r-project.org'))

Bug tracker:https://github.com/polkas/micefast/issues

Uses libs:
  • openblas– Optimized BLAS
  • c++– GNU Standard C++ Library v3
  • openmp– GCC OpenMP (GOMP) support library
Datasets:
  • air_miss - Airquality dataset with additional variables

On CRAN:

Conda:

openblascppopenmp

3.54 score 35 scripts 295 downloads 10 exports 3 dependencies

Last updated from:263a17c09e. Checks:6 OK. Indexed: no.

TargetResultTimeFilesSyslog
linux-devel-arm64OK185
linux-devel-x86_64OK194
source / vignettesOK298
linux-release-arm64OK199
linux-release-x86_64OK189
wasm-releaseOK156

Exports:compare_impcorrDatafill_NAfill_NA_NmiceFastnaive_fill_NAneibopoolupset_NAVIF

Dependencies:data.tableRcppRcppArmadillo

miceFast - Introduction and Advanced Usage

Maciej Nasinski

Rendered frommiceFast-intro.Rmdusingknitr::rmarkdownon May 27 2026.

Last update: 2026-02-26
Started: 2018-03-19

Missing Data Mechanisms and Multiple Imputation with miceFast

Maciej Nasinski

Rendered frommissing-data-and-imputation.Rmdusingknitr::rmarkdownon May 27 2026.

Last update: 2026-02-26
Started: 2026-02-26