Package: VIM 6.2.4
VIM: Visualization and Imputation of Missing Values
New tools for the visualization of missing and/or imputed values are introduced, which can be used for exploring the data and the structure of the missing and/or imputed values. Depending on this structure of the missing values, the corresponding methods may help to identify the mechanism generating the missing values and allows to explore the data including missing values. In addition, the quality of imputation can be visually explored using various univariate, bivariate, multiple and multivariate plot methods. A graphical user interface available in the separate package VIMGUI allows an easy handling of the implemented plot methods.
Authors:
VIM_6.2.4.tar.gz
VIM_6.2.4.zip(r-4.5)VIM_6.2.4.zip(r-4.4)VIM_6.2.4.zip(r-4.3)
VIM_6.2.4.tgz(r-4.4-x86_64)VIM_6.2.4.tgz(r-4.4-arm64)VIM_6.2.4.tgz(r-4.3-x86_64)VIM_6.2.4.tgz(r-4.3-arm64)
VIM_6.2.4.tar.gz(r-4.5-noble)VIM_6.2.4.tar.gz(r-4.4-noble)
VIM.pdf |VIM.html✨
VIM/json (API)
NEWS
# Install 'VIM' in R: |
install.packages('VIM', repos = c('https://statistikat.r-universe.dev', 'https://cloud.r-project.org')) |
Bug tracker:https://github.com/statistikat/vim/issues
- Animals_na - Animals_na
- SBS5242 - Synthetic subset of the Austrian structural business statistics data
- bcancer - Breast cancer Wisconsin data set
- brittleness - Brittleness index data set
- chorizonDL - C-horizon of the Kola data with missing values
- colic - Colic horse data set
- collisions - Subset of the collision data
- diabetes - Indian Prime Diabetes Data
- food - Food consumption
- kola.background - Background map for the Kola project data
- pulplignin - Pulp lignin content
- sleep - Mammal sleep data
- tao - Tropical Atmosphere Ocean (TAO) project data
- testdata - Simulated data set for testing purpose
- toydataMiss - Simulated toy data set for examples
- wine - Wine tasting and price
hotdeckimputation-methodsmodel-predictionsvisualization
Last updated 4 months agofrom:8ea37f292b. Checks:OK: 1 NOTE: 8. Indexed: yes.
Target | Result | Date |
---|---|---|
Doc / Vignettes | OK | Nov 05 2024 |
R-4.5-win-x86_64 | NOTE | Nov 05 2024 |
R-4.5-linux-x86_64 | NOTE | Nov 05 2024 |
R-4.4-win-x86_64 | NOTE | Nov 05 2024 |
R-4.4-mac-x86_64 | NOTE | Nov 05 2024 |
R-4.4-mac-aarch64 | NOTE | Nov 05 2024 |
R-4.3-win-x86_64 | NOTE | Nov 05 2024 |
R-4.3-mac-x86_64 | NOTE | Nov 05 2024 |
R-4.3-mac-aarch64 | NOTE | Nov 05 2024 |
Exports:aggralphablendbarMissbgmapcolormapMisscolormapMissLegendcolSequencecolSequenceHCLcolSequenceRGBcountInfcountNAevaluationgapMissgowerDgrowdotMisshistMisshotdeckimpPCAinitialiseirmikNNmapMissmarginmatrixmarginplotmatchImputematrixplotmaxCatmedianSampmosaicMissmsecormsecovnrmsepairsVIMparcoordMisspboxpfcpreparerangerImputeregressionImprugNAsampleCatscattJittscattmatrixMissscattMissspineMisstableMissxgboostImpute
Dependencies:abindbackportsbootbroomcarcarDataclassclicolorspacecowplotcpp11data.tableDEoptimRDerivdoBydplyre1071fansifarverFormulagenericsggplot2gluegtableisobandjsonlitelabelinglaekenlatticelifecyclelme4lmtestmagrittrMASSMatrixMatrixModelsmgcvmicrobenchmarkminqamodelrmunsellnlmenloptrnnetnumDerivpbkrtestpillarpkgconfigproxypurrrquantregR6rangerRColorBrewerRcppRcppEigenrlangrobustbasescalesspSparseMstringistringrsurvivaltibbletidyrtidyselectutf8vcdvctrsviridisLitewithrxgboostzoo
Donor based Imputation Methods
Rendered fromdonorImp.Rmd
usingknitr::rmarkdown
on Nov 05 2024.Last update: 2022-12-19
Started: 2020-07-15
Imputation Method based on Iterative EM PCA
Rendered fromimpPCA.Rmd
usingknitr::rmarkdown
on Nov 05 2024.Last update: 2024-07-17
Started: 2024-07-17
Imputation Method based on xgboost
Rendered fromxgboostImpute.Rmd
usingknitr::rmarkdown
on Nov 05 2024.Last update: 2024-08-07
Started: 2024-07-17
Imputation Method IRMI
Rendered fromirmi.Rmd
usingknitr::rmarkdown
on Nov 05 2024.Last update: 2023-11-10
Started: 2020-07-14
Model based Imputation Methods
Rendered frommodelImp.Rmd
usingknitr::rmarkdown
on Nov 05 2024.Last update: 2022-12-19
Started: 2020-04-17
Supportive Graphic Methods
Rendered fromVisualImp.Rmd
usingknitr::rmarkdown
on Nov 05 2024.Last update: 2024-07-17
Started: 2020-07-15
VIM
Rendered fromVIM.Rmd
usingknitr::rmarkdown
on Nov 05 2024.Last update: 2020-07-17
Started: 2020-04-14