No packages match
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
11.43 score 8 stars 285 dependents 1.2k scripts 67k downloadsfeature - Local Inferential Feature Significance for Multivariate Kernel Density Estimation
Local inferential feature significance for multivariate kernel density estimation.
Last updated
5.39 score 5 dependents 47 scripts 388 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
3.81 score 1 stars 32 scripts 332 downloadsprim - Patient Rule Induction Method (PRIM)
Patient Rule Induction Method (PRIM) for bump hunting in high-dimensional data.
Last updated
3.38 score 1 dependents 16 scripts 330 downloads