ClustImpute: K-means clustering with build-in missing data imputation

This clustering algorithm deals with missing data via weights that are imposed on missings and succesively increased. See the vignette for details.

Version: 0.1.3
Imports: ClusterR, copula, dplyr, magrittr, rlang
Suggests: psych, ggplot2, knitr, rmarkdown, testthat (≥ 2.1.0), tidyr, Hmisc, tictoc, spelling, corrplot, covr
Published: 2019-08-01
Author: Oliver Pfaffel
Maintainer: Oliver Pfaffel <opfaffel at gmail.com>
License: GPL-3
NeedsCompilation: no
Language: en-US
Materials: README NEWS
CRAN checks: ClustImpute results

Downloads:

Reference manual: ClustImpute.pdf
Vignettes: Example_on_simulated_data
Package source: ClustImpute_0.1.3.tar.gz
Windows binaries: r-devel: ClustImpute_0.1.3.zip, r-devel-gcc8: ClustImpute_0.1.3.zip, r-release: ClustImpute_0.1.3.zip, r-oldrel: ClustImpute_0.1.3.zip
OS X binaries: r-release: ClustImpute_0.1.3.tgz, r-oldrel: ClustImpute_0.1.3.tgz

Linking:

Please use the canonical form https://CRAN.R-project.org/package=ClustImpute to link to this page.