Functions for nominal data mining based on bipartite graphs, which build a pipeline for analysis and missing values imputation. Methods are mainly from the paper: Jafari, Mohieddin, et al. (2021) <doi:10.1101/2021.03.18.436040>, some new ones are also included.
| Version: | 0.2.2 |
| Depends: | R (≥ 3.5.0) |
| Imports: | plotly,tidyr,bipartite,crayon,dplyr,ggplot2,igraph,purrr,skimr,bnstruct,RColorBrewer,fpc,mice,missMDA,networkD3,scales,softImpute,tibble,tidytext,visNetwork, stats |
| Suggests: | knitr, utils,rmarkdown,htmltools,testthat (≥ 3.0.0) |
| Published: | 2025-10-06 |
| DOI: | 10.32614/CRAN.package.NIMAA |
| Author: | Mohieddin Jafari [aut, cre], Cheng Chen [aut], Zangene Ehsan [aut] |
| Maintainer: | Mohieddin Jafari <mohieddin.jafari at helsinki.fi> |
| BugReports: | https://github.com/jafarilab/NIMAA/issues |
| License: | GPL (≥ 3) |
| URL: | https://github.com/jafarilab/NIMAA |
| NeedsCompilation: | no |
| Materials: | README,NEWS |
| In views: | MissingData |
| CRAN checks: | NIMAA results |