ks (1.10.6)

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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, prim, rainbow, wild1
Reverse suggests: broom, directlabels, fdapace, hdrcde, Infusion, kernelboot, logcondens, rugarch, sensitivity, transport

Released about 1 month ago.

37 previous versions



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Related packages: FactoMineR, GPArotation, GenKern, Hmisc, ICSNP, ICS, JADE, KernSmooth, MCMCpack, MNP, Matrix, PTAk, PearsonICA, ROCR, SensoMineR, SparseM, SpatialNP, VGAM, YaleToolkit, abind(20 best matches, based on common tags.)

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