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| Label | Latest Version |
|---|---|
| main | 1.14.3 |
| cf201901 | 1.11.3 |
| cf202003 | 1.11.7 |
| gcc7 | 1.11.3 |
