NIMAA/DESCRIPTION at main · jafarilab/NIMAA · GitHub

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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)