DESCRIPTION

Package: linkspotter
Type: Package
Title: Bivariate Correlations Calculation and Visualization
Version: 1.4.0.9000
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