FuzzyImputationTest

Imputation Procedures and Quality Tests for Fuzzy Data

CRAN Package

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.

  • Version0.3.6
  • R versionR (≥ 3.5.0)
  • LicenseGPL-3
  • Needs compilation?Yes
  • Last release12/11/2024

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  • Imports5 packages
  • Suggests1 package