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FuzzyImputationTest

Imputation Procedures and Quality Tests for Fuzzy Data

v0.5.2 · Oct 29, 2025 · GPL-3

Description

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.

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CRAN Check Status

14 OK
Show all 14 flavors
Flavor Status
r-devel-linux-x86_64-debian-clang OK
r-devel-linux-x86_64-debian-gcc OK
r-devel-linux-x86_64-fedora-clang OK
r-devel-linux-x86_64-fedora-gcc OK
r-devel-macos-arm64 OK
r-devel-windows-x86_64 OK
r-oldrel-macos-arm64 OK
r-oldrel-macos-x86_64 OK
r-oldrel-windows-x86_64 OK
r-patched-linux-x86_64 OK
r-release-linux-x86_64 OK
r-release-macos-arm64 OK
r-release-macos-x86_64 OK
r-release-windows-x86_64 OK

Check History

OK 14 OK · 0 NOTE · 0 WARNING · 0 ERROR · 0 FAILURE Mar 10, 2026

Dependency Network

Dependencies Reverse dependencies FuzzySimRes FuzzyNumbers missForest miceRanger VIM FuzzyResampling mice FuzzyImputationTest

Version History

new 0.5.2 Mar 10, 2026
updated 0.5.2 ← 0.5.1 diff Oct 28, 2025
updated 0.5.1 ← 0.5.0 diff May 14, 2025
updated 0.5.0 ← 0.4.0 diff Mar 25, 2025
updated 0.4.0 ← 0.3.8 diff Jan 23, 2025
updated 0.3.8 ← 0.3.6 diff Dec 19, 2024
updated 0.3.6 ← 0.3.4 diff Dec 10, 2024
updated 0.3.4 ← 0.3.3 diff Oct 29, 2024
updated 0.3.3 ← 0.3.0 diff Oct 8, 2024
updated 0.3.0 ← 0.2.0 diff Sep 26, 2024
new 0.2.0 Sep 8, 2024