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: 2026-11-04 07:53:13 UTC; root
Author: Li Xing [cre, aut], Shiyu Xu [aut], Jing Wang [aut], Kohlton
        Booth [aut], Xuekui Zhang [aut], Igor Burstyn [aut], Paul
        Gustafson [aut]
Repository: https://cran.r-universe.dev
Date/Publication: 2026-10-05 01:03:47 UTC
RemoteUrl: https://github.com/cran/lboxcox
RemoteRef: HEAD
RemoteSha: f8d0f31bb095a11f350797846ea14db91038adbe