Package: linkspotter
Type: Package
Title: Bivariate Correlations Calculation and Visualization
Version: 1.3.0
Date: 2020-07-23
Authors@R: c(
  person("Alassane", "Samba", role = c("aut", "cre"),email = "alassane.samba@orange.com"), 
  person(family="Orange", role = c("cph"))
  )
Description: Compute and visualize using the 'visNetwork' package all the bivariate correlations of a dataframe.
  Several and different types of correlation coefficients (Pearson's r, Spearman's rho, Kendall's tau,
  distance correlation, maximal information coefficient and 
  equal-freq discretization-based maximal normalized mutual information) are used according to 
  the variable couple type (quantitative vs categorical, quantitative vs quantitative, categorical vs categorical).
License: MIT + file LICENSE
URL: https://github.com/sambaala/linkspotter
BugReports: https://github.com/sambaala/linkspotter/issues
Encoding: UTF-8
LazyData: true
Depends: R (>= 3.2.0)
Imports: shiny, visNetwork, infotheo, minerva, energy, mclust,
        rAmCharts, pbapply, ggplot2, dplyr, tidyr, shinybusy
Collate: 'linkspotterComplete.R' 'clusterVariables.R'
        'linkspotterDurationEstimator.R' 'linkspotterGraph.R'
        'linkspotterGraphOnMatrix.R' 'linkspotterOnFile.R'
        'linkspotterUI.R' 'corCouplesToMatrix.R' 'matrixToCorCouples.R'
        'maxNMI.R' 'BeEFdiscretization_numfact.R'
        'BeEFdiscretization_numnum.R' 'multiBivariateCorrelation.R'
        'NormalizedMI.R' 'createShinyAppFolder.R' 'EFdiscretization.R'
        'non_informative_var.R'
RoxygenNote: 7.1.1
Suggests: knitr, rmarkdown
VignetteBuilder: knitr
NeedsCompilation: no
Packaged: 2020-07-23 10:22:57 UTC; XXGB1668
Author: Alassane Samba [aut, cre],
  Orange [cph]
Maintainer: Alassane Samba <alassane.samba@orange.com>
Repository: CRAN
Date/Publication: 2020-07-23 10:40:02 UTC
Built: R 4.6.0; ; 2026-04-26 19:27:46 UTC; unix
