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) .


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install.packages("ks")

1.11.5 by Tarn Duong, a month ago


http://www.mvstat.net/mvksa


Browse source code at https://github.com/cran/ks


Authors: Tarn Duong [aut, cre] , Matt Wand [ctb] , Jose Chacon [ctb] , Artur Gramacki [ctb]


Documentation:   PDF Manual  


Task views: Multivariate Statistics


GPL-2 | GPL-3 license


Imports FNN, kernlab, KernSmooth, Matrix, mclust, mgcv, multicool, mvtnorm

Suggests maps, MASS, misc3d, OceanView, oz, rgl


Imported by GPareto, MaskJointDensity, RandomCoefficients, Surrogate, VIRF, birdring, cdcsis, curvHDR, feature, hdrcde, highriskzone, hypervolume, lg, logcondens, lsbs, motmot, multimode, rainbow, raptr, rugarch, sNPLS, semiArtificial, simIReff, simukde, smoothROCtime, tseriesEntropy.

Depended on by Kernelheaping, TPD, npphen.

Suggested by broom, fdapace, httk, kernelboot, sensitivity, transport.


See at CRAN