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.


Reference manual

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0.1.0 by Cheng Chen, 5 months ago

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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