lboxcox: Implementation of Logistic Box-Cox Regression

Implements a logistic Box-Cox model that adds a shape parameter to a routine logistic regression model to flexibly estimate the shape and strength of the relationship between a binary outcome and a continuous predictor, adjusting for covariates and survey weights. This model is fully described in Xing, L. et al. (2021) <doi:10.1002/cjs.11587>. This version extends the original 'lboxcox' package (1.1) with numerically stabilized likelihood/gradient calculations, vectorized data preprocessing, and a bootstrap-ensemble estimator.

Version:	2.0.1
Depends:	R (≥ 3.5.0), survey
Imports:	maxLik, caret, doParallel, foreach, MASS, stats
Suggests:	knitr, rmarkdown, testthat (≥ 3.0.0)
Published:	2026-10-04
DOI:	10.32614/CRAN.package.lboxcox
Author:	Li Xing [cre, aut], Shiyu Xu [aut], Jing Wang [aut], Kohlton Booth [aut], Xuekui Zhang [aut], Igor Burstyn [aut], Paul Gustafson [aut]
Maintainer:	Li Xing <jnjfayaa at gmail.com>
License:	GPL-3
NeedsCompilation:	no
Materials:	README
CRAN checks:	lboxcox results

Documentation:

Reference manual:	lboxcox.html , lboxcox.pdf
Vignettes:	Introduction to Logistic Box-Cox Regression with lboxcox (source, R code)

Downloads:

Package source:	lboxcox_2.0.1.tar.gz
Windows binaries:	r-devel: lboxcox_1.2.zip, r-release: lboxcox_1.2.zip, r-oldrel: lboxcox_1.2.zip
macOS binaries:	r-release (arm64): not available, r-oldrel (arm64): lboxcox_1.2.tgz, r-release (x86_64): lboxcox_2.0.1.tgz, r-oldrel (x86_64): lboxcox_2.0.1.tgz
Old sources:	lboxcox archive

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