Special procedures for the imputation of missing fuzzy numbers are still underdeveloped. The goal of the package is to provide the new d-imputation method (DIMP for short, Romaniuk, M. and Grzegorzewski, P. (2023) "Fuzzy Data Imputation with DIMP and FGAIN" RB/23/2023) and covert some classical ones applied in R packages ('missForest','miceRanger','knn') for use with fuzzy datasets. Additionally, specially tailored benchmarking tests are provided to check and compare these imputation procedures with fuzzy datasets.
Version: | 0.3.3 |
Depends: | R (≥ 3.5.0) |
Imports: | stats, methods, FuzzySimRes, FuzzyNumbers, missForest, miceRanger, VIM, utils |
Suggests: | testthat (≥ 3.0.0) |
Published: | 2024-10-09 |
DOI: | 10.32614/CRAN.package.FuzzyImputationTest |
Author: | Maciej Romaniuk [cre, aut] |
Maintainer: | Maciej Romaniuk <mroman at ibspan.waw.pl> |
License: | GPL-3 |
NeedsCompilation: | yes |
Materials: | README |
CRAN checks: | FuzzyImputationTest results |
Reference manual: | FuzzyImputationTest.pdf |
Package source: | FuzzyImputationTest_0.3.3.tar.gz |
Windows binaries: | r-devel: FuzzyImputationTest_0.3.3.zip, r-release: FuzzyImputationTest_0.3.3.zip, r-oldrel: FuzzyImputationTest_0.3.3.zip |
macOS binaries: | r-release (arm64): FuzzyImputationTest_0.3.3.tgz, r-oldrel (arm64): FuzzyImputationTest_0.3.3.tgz, r-release (x86_64): FuzzyImputationTest_0.3.3.tgz, r-oldrel (x86_64): FuzzyImputationTest_0.3.3.tgz |
Old sources: | FuzzyImputationTest archive |
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