Package: NIMAA
Title: Nominal Data Mining Analysis
Version: 0.2.2
Date: 2025-10-02
Authors@R: c(
 person("Mohieddin", "Jafari", role = c("aut","cre"),email = "mohieddin.jafari@helsinki.fi"),
 person("Cheng", "Chen", role = c("aut"),email = "cheng.chen@helsinki.fi"),
 person("Zangene", "Ehsan", role = c("aut"),email = "ehsan.zangene@helsinki.fi")
 ) 
Description: 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.
License: GPL (>= 3)
URL: https://github.com/jafarilab/NIMAA
BugReports: https://github.com/jafarilab/NIMAA/issues
Encoding: UTF-8
LazyData: true
RoxygenNote: 7.3.3
Suggests: knitr, utils, rmarkdown, htmltools, testthat (>= 3.0.0)
Config/testthat/edition: 3
Imports: plotly, tidyr, bipartite, crayon, dplyr, ggplot2, igraph,
        purrr, skimr, bnstruct, RColorBrewer, fpc, mice, missMDA,
        networkD3, scales, softImpute, tibble, tidytext, visNetwork,
        stats
VignetteBuilder: knitr
Depends: R (>= 3.5.0)
NeedsCompilation: no
Packaged: 2025-10-06 09:39:07 UTC; mohi
Author: Mohieddin Jafari [aut, cre],
  Cheng Chen [aut],
  Zangene Ehsan [aut]
Maintainer: Mohieddin Jafari <mohieddin.jafari@helsinki.fi>
Repository: CRAN
Date/Publication: 2025-10-06 10:20:02 UTC
Built: R 4.4.3; ; 2025-10-13 13:00:54 UTC; windows
