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>.
Last updated 5 months ago
10.34 score 6 stars 260 dependents 920 scripts 25k downloadsfeature - Local Inferential Feature Significance for Multivariate Kernel Density Estimation
Local inferential feature significance for multivariate kernel density estimation.
Last updated 4 years ago
4.60 score 5 dependents 38 scripts 657 downloadsprim - Patient Rule Induction Method (PRIM)
Patient Rule Induction Method (PRIM) for bump hunting in high-dimensional data.
Last updated 3 months ago
2.98 score 1 dependents 16 scripts 472 downloadseks - Tidy and Geospatial Kernel Smoothing
Extensions of the kernel smoothing functions from the 'ks' package for compatibility with the tidyverse and geospatial ecosystems <doi:10.1007/s00180-024-01543-9>.
Last updated 1 months ago
2.88 score 1 stars 25 scripts 532 downloads