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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: | 0.2.1 |
| 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: | 2022-04-11 |
| DOI: | 10.32614/CRAN.package.NIMAA |
| Author: | Mohieddin Jafari [aut, cre], Cheng Chen [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 |
| Reference manual: | NIMAA.pdf |
| Vignettes: |
NIMAA-vignette |
| Package source: | NIMAA_0.2.1.tar.gz |
| Windows binaries: | r-devel: NIMAA_0.2.1.zip, r-release: NIMAA_0.2.1.zip, r-oldrel: NIMAA_0.2.1.zip |
| macOS binaries: | r-release (arm64): NIMAA_0.2.1.tgz, r-oldrel (arm64): NIMAA_0.2.1.tgz, r-release (x86_64): NIMAA_0.2.1.tgz, r-oldrel (x86_64): NIMAA_0.2.1.tgz |
| Old sources: | NIMAA archive |
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These binaries (installable software) and packages are in development.
They may not be fully stable and should be used with caution. We make no claims about them.