The general workflow of most imputation methods is quite similar. The aim of this package is to provide parts of this general workflow to make the implementation of imputation methods easier. The heart of an imputation method is normally the used model. These models can be defined using the 'parsnip' package or customized specifications. The rest of an imputation method are more technical specification e.g. which columns and rows should be used for imputation and in which order. These technical specifications can be set inside the imputation functions.
Version: | 0.1.0 |
Imports: | gower, parsnip, stats |
Suggests: | missMethods, rpart, testthat (≥ 3.0.0) |
Published: | 2022-03-03 |
DOI: | 10.32614/CRAN.package.imputeGeneric |
Author: | Tobias Rockel [aut, cre] |
Maintainer: | Tobias Rockel <Rockel.To at gmail.com> |
BugReports: | https://github.com/torockel/imputeGeneric/issues |
License: | GPL (≥ 3) |
URL: | https://github.com/torockel/imputeGeneric |
NeedsCompilation: | no |
Materials: | README NEWS |
CRAN checks: | imputeGeneric results |
Reference manual: | imputeGeneric.pdf |
Package source: | imputeGeneric_0.1.0.tar.gz |
Windows binaries: | r-devel: imputeGeneric_0.1.0.zip, r-release: imputeGeneric_0.1.0.zip, r-oldrel: imputeGeneric_0.1.0.zip |
macOS binaries: | r-release (arm64): imputeGeneric_0.1.0.tgz, r-oldrel (arm64): imputeGeneric_0.1.0.tgz, r-release (x86_64): imputeGeneric_0.1.0.tgz, r-oldrel (x86_64): imputeGeneric_0.1.0.tgz |
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