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. Duong (2017) <doi:10.18637/jss.v021.i07>.
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Summary
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. Duong (2017) <doi:10.18637/jss.v021.i07>.
Last Updated
May 2, 2018 at 17:10
License
GPL-2 | GPL-3
Total Downloads
115
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