ks (1.10.6)

Kernel Smoothing.


Kernel smoothers for univariate and multivariate data, including density functions, density derivatives, cumulative distributions, modal clustering, discriminant analysis, and two-sample hypothesis testing.

Maintainer: Tarn Duong
Author(s): Tarn Duong <tarn.duong@gmail.com>

License: GPL-2 | GPL-3

Uses: FNN, KernSmooth, misc3d, multicool, mvtnorm, rgl, MASS
Reverse depends: curvHDR, feature, hdrcde, highriskzone, Kernelheaping, npphen, prim, rainbow, wild1
Reverse suggests: broom, directlabels, fdapace, hdrcde, httk, Infusion, kernelboot, logcondens, rugarch, sensitivity, transport

Released 6 months ago.