This clustering algorithm deals with missing data via weights that are imposed on missings and successively increased. See the vignette for details.
| Version: | 0.1.6 |
| Imports: | ClusterR, copula, dplyr, magrittr, rlang |
| Suggests: | psych, ggplot2, knitr, rmarkdown, testthat (≥ 2.1.0), tidyr, Hmisc, tictoc, spelling, corrplot, covr |
| Published: | 2020-12-12 |
| Author: | Oliver Pfaffel |
| Maintainer: | Oliver Pfaffel <opfaffel at gmail.com> |
| License: | GPL-3 |
| NeedsCompilation: | no |
| Language: | en-US |
| Citation: | ClustImpute citation info |
| Materials: | README NEWS |
| In views: | MissingData |
| CRAN checks: | ClustImpute results |
| Reference manual: | ClustImpute.pdf |
| Vignettes: |
Example_on_simulated_data Description of the algorithm |
| Package source: | ClustImpute_0.1.6.tar.gz |
| Windows binaries: | r-devel: ClustImpute_0.1.6.zip, r-release: ClustImpute_0.1.6.zip, r-oldrel: ClustImpute_0.1.6.zip |
| macOS binaries: | r-release: ClustImpute_0.1.6.tgz, r-oldrel: ClustImpute_0.1.6.tgz |
| Old sources: | ClustImpute archive |
| Reverse suggests: | FeatureImpCluster |
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