Package: miceFast 0.8.2

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.

Authors:Maciej Nasinski [aut, cre]

miceFast_0.8.2.tar.gz
miceFast_0.8.2.zip(r-4.5)miceFast_0.8.2.zip(r-4.4)miceFast_0.8.2.zip(r-4.3)
miceFast_0.8.2.tgz(r-4.4-x86_64)miceFast_0.8.2.tgz(r-4.4-arm64)miceFast_0.8.2.tgz(r-4.3-x86_64)miceFast_0.8.2.tgz(r-4.3-arm64)
miceFast_0.8.2.tar.gz(r-4.5-noble)miceFast_0.8.2.tar.gz(r-4.4-noble)
miceFast_0.8.2.tgz(r-4.4-emscripten)miceFast_0.8.2.tgz(r-4.3-emscripten)
miceFast.pdf |miceFast.html✨
miceFast/json (API)
NEWS

Peer review:

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

On CRAN:

cppfastfast-imputationsgroupingimputationimputationsmatrixmromultiple-imputationrcpprcpparmadillovifweighting

9 exports 17 stars 1.92 score 3 dependencies 27 scripts 391 downloads

Last updated 2 years agofrom:425710b91a. Checks:OK: 1 NOTE: 8. Indexed: yes.

Exports:compare_impcorrDatafill_NAfill_NA_NmiceFastnaive_fill_NAneiboupset_NAVIF

Dependencies:data.tableRcppRcppArmadillo