Package: lboxcox
Type: Package
Title: Implementation of Logistic Box-Cox Regression
Version: 2.0.1
Date: 2026-09-05
Authors@R: c(
    person("Li", "Xing", email = "jnjfayaa@gmail.com", role = c("cre", "aut")),
    person("Shiyu", "Xu", email = "xushiyu98@outlook.com", role = "aut"),
    person("Jing", "Wang", role = "aut"),
    person("Kohlton", "Booth", email = "booth.kohl@gmail.com", role = "aut"),
    person("Xuekui", "Zhang", role = "aut"),
    person("Igor", "Burstyn", role = "aut"),
    person("Paul", "Gustafson", role = "aut"))
Maintainer: Li Xing <jnjfayaa@gmail.com>
Description: 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.
License: GPL-3
Encoding: UTF-8
LazyData: true
RoxygenNote: 7.3.3
Suggests: knitr, rmarkdown, testthat (>= 3.0.0)
VignetteBuilder: knitr
Config/testthat/edition: 3
Depends: R (>= 3.5.0), survey
Imports: maxLik, caret, doParallel, foreach, MASS, stats
NeedsCompilation: no
Packaged: 2026-10-02 16:47:39 UTC; xushiyu
Author: Li Xing [cre, aut],
  Shiyu Xu [aut],
  Jing Wang [aut],
  Kohlton Booth [aut],
  Xuekui Zhang [aut],
  Igor Burstyn [aut],
  Paul Gustafson [aut]
Repository: CRAN
Date/Publication: 2026-10-04 23:00:22 UTC
Built: R 4.5.2; ; 2026-10-05 01:48:09 UTC; unix
