Nominal Data Mining Analysis

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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Reference manual

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install.packages("NIMAA")

0.1.0 by Cheng Chen, 11 days ago


https://github.com/jafarilab/NIMAA


Report a bug at https://github.com/jafarilab/NIMAA/issues


Browse source code at https://github.com/cran/NIMAA


Authors: Mohieddin Jafari [aut] , Cheng Chen [aut, cre]


Documentation:   PDF Manual  


GPL (>= 3) license


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