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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>.

copied from cf-staging / r-ks
Type Size Name Uploaded Downloads Labels
conda 1.7 MB | win-64/r-ks-1.12.0-r40h6d2157b_0.tar.bz2  3 years and 11 months ago 935 main
conda 1.7 MB | win-64/r-ks-1.12.0-r36h6d2157b_0.tar.bz2  3 years and 11 months ago 964 main
conda 1.6 MB | osx-64/r-ks-1.12.0-r36hf6ff476_0.tar.bz2  3 years and 11 months ago 280 main
conda 1.6 MB | osx-64/r-ks-1.12.0-r40hf6ff476_0.tar.bz2  3 years and 11 months ago 292 main
conda 1.6 MB | linux-64/r-ks-1.12.0-r40hcfec24a_0.tar.bz2  3 years and 11 months ago 2647 main
conda 1.6 MB | linux-64/r-ks-1.12.0-r36hcfec24a_0.tar.bz2  3 years and 11 months ago 2553 main

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