Package: NIMAA
Title: Nominal Data Mining Analysis
Version: 0.2.0
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")
 )
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: 7.1.2
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: 2022-04-01 14:12:53 UTC; mohi
Author: Mohieddin Jafari [aut, cre],
  Cheng Chen [aut]
Maintainer: Mohieddin Jafari <mohieddin.jafari@helsinki.fi>
Repository: CRAN
Date/Publication: 2022-04-01 14:50:05 UTC
