Nominal Data Mining Analysis R package NIMAA version 0.2.2 CRAN Task View: MissingData (https://CRAN.R-project.org/view=MissingData) 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. Software 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) Mohieddin Jafari <mohieddin.jafari@helsinki.fi> Comprehensive R Archive Network (CRAN) Mohieddin Jafari [aut, cre], Cheng Chen [aut], Zangene Ehsan [aut] GPL (>= 3) 2025-10-06 application/tgz https://CRAN.R-project.org/package=NIMAA doi:10.32614/CRAN.package.NIMAA