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
Roxygen: list(markdown = 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)
Config/pak/sysreqs: cmake libfreetype6-dev libglpk-dev make libicu-dev
        libpng-dev libuv1-dev libxml2-dev libssl-dev libx11-dev
        zlib1g-dev
Repository: https://jafarilab.r-universe.dev
Date/Publication: 2025-10-03 09:48:18 UTC
RemoteUrl: https://github.com/jafarilab/nimaa
RemoteRef: HEAD
RemoteSha: 8645191e55cebd7769946394cd311d4ce4ee112e
NeedsCompilation: no
Packaged: 2026-10-01 13:16:33 UTC; root
Author: Mohieddin Jafari [aut, cre],
  Cheng Chen [aut],
  Zangene Ehsan [aut]
Maintainer: Mohieddin Jafari <mohieddin.jafari@helsinki.fi>