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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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11.74 score 10 stars 281 dependents 1.3k scripts 49k downloadsfeature - Local Inferential Feature Significance for Multivariate Kernel Density Estimation
Local inferential feature significance for multivariate kernel density estimation.
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5.67 score 5 dependents 81 scripts 1.1k 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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3.88 score 2 stars 38 scripts 606 downloadsprim - Patient Rule Induction Method (PRIM)
Patient Rule Induction Method (PRIM) for bump hunting in high-dimensional data.
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3.48 score 1 stars 1 dependents 20 scripts 451 downloads