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>.

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Description file content

Package
ks
Version
1.11.5
Date
2019-05-20
Title
Kernel Smoothing
Maintainer
Tarn Duong
Depends
R (>= 2.10.0)
Imports
FNN (>= 1.1), kernlab, KernSmooth (>= 2.22), Matrix, mclust, mgcv, multicool, mvtnorm (>= 1.0-0)
Suggests
maps, MASS, misc3d (>= 0.4-0), OceanView, oz, rgl (>= 0.66)
Description
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) .
License
GPL-2 | GPL-3
URL
NeedsCompilation
yes
Packaged
2019-05-20 21:45:40 UTC; tduong
Author
Tarn Duong [aut, cre], Matt Wand [ctb], Jose Chacon [ctb], Artur Gramacki [ctb]
Repository
CRAN
Date/Publication
2019-05-20 22:50:04 UTC

install.packages('ks')

1.11.5

3 months ago

http://www.mvstat.net/mvksa

Tarn Duong

GPL-2 | GPL-3

Depends on

R (>= 2.10.0)

Imports

FNN (>= 1.1), kernlab, KernSmooth (>= 2.22), Matrix, mclust, mgcv, multicool, mvtnorm (>= 1.0-0)

Suggests

maps, MASS, misc3d (>= 0.4-0), OceanView, oz, rgl (>= 0.66)

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