ks: Kernel Smoothing

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

Version: 1.11.0
Depends: R (≥ 1.4.0)
Imports: FNN (≥ 1.1), kernlab, KernSmooth (≥ 2.22), Matrix, mclust, mgcv, misc3d (≥ 0.4-0), multicool, mvtnorm (≥ 1.0-0), OceanView, rgl (≥ 0.66)
Suggests: MASS, oz
Published: 2018-01-16
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


Reference manual: ks.pdf
Vignettes: kde
Package source: ks_1.11.0.tar.gz
Windows binaries: r-devel: ks_1.11.0.zip, r-release: ks_1.11.0.zip, r-oldrel: ks_1.10.7.zip
OS X El Capitan binaries: r-release: ks_1.11.0.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


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