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ggRandomForests - Visually Exploring Random Forests

Graphic elements for exploring Random Forests using 'randomForestSRC' and 'randomForest' for survival, regression, and classification forests, and 'varPro' for rule-based variable priority. Suggests 'randomForestRHF' for hazards with time-dependent covariates. Implements visualizations of the methods described in Breiman (2001) <doi:10.1023/A:1010933404324>, Ishwaran, Kogalur, Blackstone, and Lauer (2008) <doi:10.1214/08-AOAS169>, Lu and Ishwaran (2024) <doi:10.48550/arXiv.2409.09003>, and Ishwaran, Hsich, Kogalur, and Lee (2026) <doi:10.48550/arXiv.2608.21597>.

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quarto

10.92 score 153 stars 245 scripts 702 downloads

TemporalHazard - Temporal Parametric Hazard Modeling

Provides native R implementations of the multiphase parametric hazard model of Blackstone, Naftel, and Turner (1986) <doi:10.1080/01621459.1986.10478314> with a focus on behavioral parity, transparent numerics, and reproducible validation against reference outputs from the original 'C'/'SAS' HAZARD program, originally developed at the University of Alabama at Birmingham (UAB). The 'SAS'/'C' code and this R package are currently developed and maintained at The Cleveland Clinic Foundation, and the R code was wholly developed at The Cleveland Clinic Foundation. The generalized temporal decomposition family extends to longitudinal mixed-effects settings (Rajeswaran et al. 2018 <doi:10.1177/0962280215623583>). The package is intentionally implemented in pure R first; performance-critical paths may later be accelerated with 'Rcpp' without changing the public interface.

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quarto

5.92 score 1 stars 15 scripts 205 downloads

l2boost - Exploring Friedman's Boosting Algorithm for Regularized Linear Regression

Efficient implementation of Friedman's boosting algorithm with l2-loss function and coordinate direction (design matrix columns) basis functions.

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3.48 score 6 stars 10 scripts 151 downloads
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