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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>.
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11.64 score 10 stars 286 dependents 1.3k scripts 78k downloadsfeature - Local Inferential Feature Significance for Multivariate Kernel Density Estimation
Local inferential feature significance for multivariate kernel density estimation.
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5.40 score 5 dependents 48 scripts 986 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>.
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4.02 score 2 stars 35 scripts 611 downloadsprim - Patient Rule Induction Method (PRIM)
Patient Rule Induction Method (PRIM) for bump hunting in high-dimensional data.
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3.45 score 1 dependents 19 scripts 710 downloads