SelectBoost.beta
Stability-Selection via Correlated Resampling for Beta-Regression Models
Adds variable-selection functions for Beta regression models (both mean and phi submodels) so they can be used within the 'SelectBoost' algorithm. Includes stepwise AIC, BIC, and corrected AIC on betareg() fits, 'gamlss'-based LASSO/Elastic-Net, a pure 'glmnet' iterative re-weighted least squares-based selector with an optional standardization speedup, and 'C++' helpers for iterative re-weighted least squares working steps and precision updates. Also provides a fastboost_interval() variant for interval responses, comparison helpers, and a flexible simulator simulation_DATA.beta() for interval-valued data. For more details see Bertrand and Maumy (2023) <doi:10.7490/f1000research.1119552.1>.
Versions across snapshots
| Version | Repository | File | Size |
|---|---|---|---|
0.4.5 |
rolling linux/jammy R-4.5 | SelectBoost.beta_0.4.5.tar.gz |
798.8 KiB |
0.4.5 |
rolling linux/noble R-4.5 | SelectBoost.beta_0.4.5.tar.gz |
799.3 KiB |
0.4.5 |
rolling source/ R- | SelectBoost.beta_0.4.5.tar.gz |
649.4 KiB |
0.4.5 |
latest linux/jammy R-4.5 | SelectBoost.beta_0.4.5.tar.gz |
798.8 KiB |
0.4.5 |
latest linux/noble R-4.5 | SelectBoost.beta_0.4.5.tar.gz |
799.3 KiB |
0.4.5 |
latest source/ R- | SelectBoost.beta_0.4.5.tar.gz |
649.4 KiB |
0.4.5 |
2026-04-26 source/ R- | SelectBoost.beta_0.4.5.tar.gz |
649.4 KiB |
0.4.5 |
2026-04-23 source/ R- | SelectBoost.beta_0.4.5.tar.gz |
649.4 KiB |
0.4.5 |
2026-04-09 windows/windows R-4.5 | SelectBoost.beta_0.4.5.zip |
1.1 MiB |