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) , some new ones are also included.
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Cheng Chen, 5 months ago
Report a bug at https://github.com/jafarilab/NIMAA/issues
Browse source code at
Mohieddin Jafari [aut]
Cheng Chen [aut, cre]
GPL (>= 3)
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
See at CRAN