Package: SelectBoost.beta 0.4.5

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>, <https://hal.science/hal-05352047>, and <https://hal.science/hal-05352056>.

Authors:Frederic Bertrand [cre, aut]

SelectBoost.beta_0.4.5.tar.gz
SelectBoost.beta_0.4.5.zip(r-4.7)SelectBoost.beta_0.4.5.zip(r-4.6)SelectBoost.beta_0.4.5.zip(r-4.5)
SelectBoost.beta_0.4.5.tgz(r-4.6-x86_64)SelectBoost.beta_0.4.5.tgz(r-4.6-arm64)SelectBoost.beta_0.4.5.tgz(r-4.5-x86_64)SelectBoost.beta_0.4.5.tgz(r-4.5-arm64)
SelectBoost.beta_0.4.5.tar.gz(r-4.7-arm64)SelectBoost.beta_0.4.5.tar.gz(r-4.7-x86_64)SelectBoost.beta_0.4.5.tar.gz(r-4.6-arm64)SelectBoost.beta_0.4.5.tar.gz(r-4.6-x86_64)
SelectBoost.beta_0.4.5.tgz(r-4.6-emscripten)
manual.pdf |manual.html✨
card.svg |card.png
SelectBoost.beta/json (API)
NEWS

# Install 'SelectBoost.beta' in R:
install.packages('SelectBoost.beta', repos = c('https://fbertran.r-universe.dev', 'https://cloud.r-project.org'))

Bug tracker:https://github.com/fbertran/selectboost.beta/issues

Pkgdown/docs site:https://fbertran.github.io

Uses libs:
  • c++– GNU Standard C++ Library v3

On CRAN:

Conda:

cpp

5.00 score 1 stars 6 scripts 182 downloads 22 exports 26 dependencies

Last updated from:d997cd19c6. Checks:13 OK. Indexed: yes.

TargetResultTimeFilesSyslog
linux-devel-arm64OK144
linux-devel-x86_64OK165
source / vignettesOK242
linux-release-arm64OK140
linux-release-x86_64OK153
macos-release-arm64OK110
macos-release-x86_64OK271
macos-oldrel-arm64OK147
macos-oldrel-x86_64OK281
windows-develOK137
windows-releaseOK142
windows-oldrelOK131
wasm-releaseOK129

Exports:autoplot.sb_betabetareg_enet_gamlssbetareg_glmnetbetareg_lasso_gamlssbetareg_step_aicbetareg_step_aiccbetareg_step_biccompare_selectors_bootstrapcompare_selectors_singlecompare_tablefastboost_intervalplot_compare_coeffplot_compare_freqsb_apply_selector_manualsb_betasb_beta_intervalsb_compute_corrsb_group_variablessb_normalizesb_resample_groupssb_selection_frequencysimulation_DATA.beta

Dependencies:betaregcodetoolsflexmixforeachFormulagamlssgamlss.datagamlss.distglmnetiteratorslatticelmtestMASSMatrixmodeltoolsnlmennetRcppRcppArmadilloRcppEigenrlangsandwichshapesurvivalwithrzoo

Getting started with SelectBoost.beta

SelectBoost.beta authors

Rendered fromselectboost-cran.Rmdusingknitr::rmarkdownon May 17 2026.

Last update: 2025-11-06
Started: 2025-10-29

SelectBoost for Beta regression

Frédéric Bertrand

Rendered fromselectboost-beta.Rmdusingknitr::rmarkdownon May 17 2026.

Last update: 2025-11-06
Started: 2025-10-23

SelectBoost.beta algorithms

Frédéric Bertrand

Rendered fromselectboost-algorithms.Rmdusingknitr::rmarkdownon May 17 2026.

Last update: 2025-10-30
Started: 2025-10-23

Simulating interval Beta data

Frédéric Bertrand

Rendered fromsimulate-interval-beta.Rmdusingknitr::rmarkdownon May 17 2026.

Last update: 2025-11-06
Started: 2025-10-19