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.
Version: 6.2.2 Depends: R (≥ 3.5.0), colorspace, grid Imports: car, grDevices, magrittr, robustbase, stats, sp, vcd, MASS, nnet, e1071, methods, Rcpp, utils, graphics, laeken, ranger, data.table (≥ 1.9.4) LinkingTo: Rcpp Suggests: dplyr, tinytest, knitr, rmarkdown, reactable, covr, withr Published: 2022-08-25 DOI: 10.32614/CRAN.package.VIM Author: Matthias Templ [aut, cre], Alexander Kowarik [aut], Andreas Alfons [aut], Gregor de Cillia [aut], Bernd Prantner [ctb], Wolfgang Rannetbauer [aut] Maintainer: Matthias Templ <matthias.templ at gmail.com> License: GPL-2 | GPL-3 [expanded from: GPL (≥ 2)] URL: https://github.com/statistikat/VIM NeedsCompilation: yes Citation: VIM citation info Materials: NEWS In views: MissingData, OfficialStatistics CRAN checks: VIM resultsRetroSearch is an open source project built by @garambo | Open a GitHub Issue
Search and Browse the WWW like it's 1997 | Search results from DuckDuckGo
HTML:
3.2
| Encoding:
UTF-8
| Version:
0.7.4