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
conda install conda-forge::r-ksconda install conda-forge/label/cf201901::r-ksconda install conda-forge/label/cf202003::r-ksconda install conda-forge/label/gcc7::r-ks