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ks: Kernel Smoothing
Kernel smoothers for univariate and multivariate data, with comprehensive visualisation and bandwidth selection capabilities, including for densities, density derivatives, cumulative distributions, clustering, classification, density ridges, significant modal regions, and two-sample hypothesis tests. Chacon & Duong (2018) <doi:10.1201/9780429485572>.
Getting started
Browse package contents
Package details |
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| Author | Tarn Duong [aut, cre] (<https://orcid.org/0000-0002-1198-3482>), Matt Wand [ctb] (<https://orcid.org/0000-0003-2555-896X>), Jose Chacon [ctb], Artur Gramacki [ctb] (<https://orcid.org/0000-0002-1610-9743>) |
| Maintainer | Tarn Duong <tarn.duong@gmail.com> |
| License | GPL-2 | GPL-3 |
| Version | 1.14.1 |
| URL | https://www.mvstat.net/mvksa/ |
| Package repository | View on CRAN |
| Installation |
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