ks

Kernel Smoothing

Kernel smoothers for univariate and multivariate data, including densities, density derivatives, cumulative distributions, clustering, classification, density ridges, significant modal regions, and two-sample hypothesis tests. Chacon & Duong (2018) <doi:10.1201/9780429485572>.

Tests Vignettes

Available Snapshots

This version of ks can be found in the following snapshots:

Dependencies

Imports/Depends/LinkingTo/Enhances (8)
  • R
  • FNN >= 1.1
  • kernlab
  • mclust
  • multicool
  • mvtnorm >= 1.0-0
  • plot3D
  • pracma
  • Suggests (3)
  • misc3d >= 0.4-0
  • oz
  • rgl >= 0.66
  • Version History