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 |
Downloads:
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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