Package: FuzzyImputationTest 0.5.5

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:Maciej Romaniuk [cre, aut]

FuzzyImputationTest_0.5.5.tar.gz
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FuzzyImputationTest_0.5.5.tgz(r-4.6-any)FuzzyImputationTest_0.5.5.tgz(r-4.5-any)
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FuzzyImputationTest_0.5.5.tgz(r-4.6-emscripten)
manual.pdf |manual.html✨
DESCRIPTION
card.svg |card.png
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

On CRAN:

3.30 score 2 scripts 302 downloads 17 exports 168 dependencies

Last updated from:a22a83819e. Checks:7 WARNING, 1 ERROR, 1 OK. Indexed: yes.

Target	Result	Time
linux-devel-x86_64	WARNING	185
source / vignettes	ERROR	229
linux-release-x86_64	WARNING	181
macos-release-arm64	WARNING	124
macos-oldrel-arm64	WARNING	108
windows-devel	WARNING	104
windows-release	WARNING	113
windows-oldrel	WARNING	106
wasm-release	OK	199

Exports:ApplyStatisticalTests CalculateFuzzyMeasures ErrorMatrix FuzzifyMatrix FuzzyImputation FuzzyNumbersToMatrix ImputationDimp ImputationTests IntroducingNA MatrixToFuzzyNumbers MeasureAHD MeasureEuclidean MeasureHSD methodNames MethodsComparison RemoveNotFuzzy StatisticalMeasures

Dependencies:abind askpass backports bbotk bit bit64 boot broom car carData cellranger checkmate class cli clipr codetools colorspace corrplot cowplot cpp11 crayon curl data.table DEoptimR Deriv DescTools digest doBy doRNG dplyr e1071 evaluate Exact expm farver FNN forcats foreach forecast Formula fracdiff fs future future.apply FuzzyNumbers FuzzyResampling FuzzySimRes generics ggplot2 ggpubr ggrepel ggsci ggsignif gld glmnet globals glue gridExtra gtable haven hms httr isoband iterators itertools jomo jsonlite labeling laeken lattice lgr lifecycle listenv lme4 lmom lmtest magrittr MASS Matrix MatrixModels matrixStats mgcv mice miceRanger microbenchmark mime minqa mirai missForest mitml mlbench mlr3 mlr3learners mlr3measures mlr3misc mlr3pipelines mlr3tuning modelr moocore mvtnorm nanonext nlme nloptr nnet numDeriv openssl ordinal palasso palmerpenguins pan paradox parallelly pbkrtest pillar pkgconfig polynom prettyunits progress proxy PRROC purrr quantreg R6 randomForest ranger rbibutils RColorBrewer Rcpp RcppArmadillo RcppEigen Rdpack readr readxl reformulas rematch rlang rngtools robustbase rootSolve rpart rstatix rstudioapi S7 scales shape sp SparseM stringi stringr survival sys tibble tidyr tidyselect timeDate tzdb ucminf urca utf8 uuid vcd vctrs VIM viridisLite vroom withr xgboost zoo

Vignettes and/or manual for this package failed to build, some documents may be unavailable. Please inspect thebuild logs for more information.

Help page	Topics
Statistical epistemic tests the imputed values.	ApplyStatisticalTests
Calculation of the fuzzy measures for the imputed values.	CalculateFuzzyMeasures
Calculation of the errors for the imputed values.	ErrorMatrix
Fuzzyfing the crisp values.	FuzzifyMatrix
Main method to impute fuzzy values.	FuzzyImputation
Conversion of a list of fuzzy numbers into a matrix.	FuzzyNumbersToMatrix
DIMP (d-imputation) method for fuzzy numbers.	ImputationDimp
Battery of test for the imputed fuzzy values.	ImputationTests
Introducing NAs to the specified matrix.	IntroducingNA
Conversion of a matrix to a list of fuzzy numbers.	MatrixToFuzzyNumbers
Function to calculate the AHD distance between two fuzzy numbers.	MeasureAHD
Function to calculate the Euclidean distance between two fuzzy numbers.	MeasureEuclidean
Function to calculate the HSD distance between two fuzzy numbers.	MeasureHSD
A vector containing names of the resampling methods.	methodNames
Comparison of imputation methods for fuzzy values.	MethodsComparison
Removing values that are not fuzzy numbers.	RemoveNotFuzzy
Calculation of statistical measures for errors of the imputed data.	StatisticalMeasures
Print summary of the benchmark for the imputation method.	summary.impTest
Print summary of the comparison of the imputation methods.	summary.metComp

Package: FuzzyImputationTest 0.5.5

FuzzyImputationTest: Imputation Procedures and Quality Tests for Fuzzy Data

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