ks: Kernel Smoothing

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

Version: 1.10.7
Depends: R (≥ 1.4.0)
Imports: FNN (≥ 1.1), KernSmooth (≥ 2.22), misc3d (≥ 0.4-0), multicool, mvtnorm (≥ 1.0-0), rgl (≥ 0.66)
Suggests: MASS
Published: 2017-07-02
Author: Tarn Duong
Maintainer: Tarn Duong <tarn.duong at gmail.com>
License: GPL-2 | GPL-3
URL: http://www.mvstat.net/tduong
NeedsCompilation: yes
Materials: ChangeLog
In views: Multivariate
CRAN checks: ks results

Downloads:

Reference manual: ks.pdf
Vignettes: kde
Package source: ks_1.10.7.tar.gz
Windows binaries: r-devel: ks_1.10.7.zip, r-release: ks_1.10.7.zip, r-oldrel: ks_1.10.7.zip
OS X El Capitan binaries: r-release: ks_1.10.7.tgz
OS X Mavericks binaries: r-oldrel: ks_1.10.7.tgz
Old sources: ks archive

Reverse dependencies:

Reverse depends: GPC, Kernelheaping, npphen, TPD
Reverse imports: birdring, cdcsis, curvHDR, feature, GPareto, hdrcde, highriskzone, hypervolume, lg, logcondens, multimode, rainbow, raptr, rugarch, RVPedigree, semiArtificial, sNPLS, tseriesEntropy
Reverse suggests: broom, fdapace, httk, Infusion, kernelboot, sensitivity, transport

Linking:

Please use the canonical form https://CRAN.R-project.org/package=ks to link to this page.