Package: FuzzyImputationTest 0.4.0
FuzzyImputationTest: Imputation Procedures and Quality Tests for Fuzzy Data
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.
Authors:
FuzzyImputationTest_0.4.0.tar.gz
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FuzzyImputationTest.pdf |FuzzyImputationTest.html✨
FuzzyImputationTest/json (API)
# Install 'FuzzyImputationTest' in R: |
install.packages('FuzzyImputationTest', repos = c('https://mroman-ibs.r-universe.dev', 'https://cloud.r-project.org')) |
Bug tracker:https://github.com/mroman-ibs/fuzzyimputationtest/issues
Last updated 7 days agofrom:be7e24bf10. Checks:7 OK. Indexed: yes.
Target | Result | Latest binary |
---|---|---|
Doc / Vignettes | OK | Jan 24 2025 |
R-4.5-win | OK | Jan 24 2025 |
R-4.5-linux | OK | Jan 24 2025 |
R-4.4-win | OK | Jan 24 2025 |
R-4.4-mac | OK | Jan 24 2025 |
R-4.3-win | OK | Jan 24 2025 |
R-4.3-mac | OK | Jan 24 2025 |
Exports:ApplyStatisticalTestsCalculateFuzzyMeasuresErrorMatrixFuzzifyMatrixFuzzyImputationFuzzyNumbersToMatrixImputationDimpImputationTestsIntroducingNAMatrixToFuzzyNumbersMeasureAHDMeasureEuclideanMeasureHSDmethodNamesMethodsComparisonRemoveNotFuzzyStatisticalMeasures
Dependencies:abindaskpassbackportsbitbit64bootbroomcarcarDatacellrangerclassclicliprcodetoolscolorspacecorrplotcowplotcpp11crayoncurldata.tableDEoptimRDerivDescToolsdigestdoBydoRNGdplyre1071ExactexpmfansifarverFNNforcatsforeachFormulaFuzzyNumbersFuzzySimResgenericsggplot2ggpubrggrepelggsciggsignifgldglmnetgluegridExtragtablehavenhmshttrisobanditeratorsitertoolsjsonlitelabelinglaekenlatticelifecyclelme4lmomlmtestmagrittrMASSMatrixMatrixModelsmgcvmiceRangermicrobenchmarkmimeminqamissForestmodelrmunsellmvtnormnlmenloptrnnetnumDerivopensslpalassopbkrtestpillarpkgconfigpolynomprettyunitsprogressproxypurrrquantregR6randomForestrangerrbibutilsRColorBrewerRcppRcppEigenRdpackreadrreadxlreformulasrematchrlangrngtoolsrobustbaserootSolverstatixrstudioapiscalesshapespSparseMstringistringrsurvivalsystibbletidyrtidyselecttzdbutf8vcdvctrsVIMviridisLitevroomwithrzoo