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# CITATION.cff file created with {cffr} R package
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cff-version: 1.2.0
message: 'To cite package "lboxcox" in publications use:'
type: software
license: GPL-3.0-only
title: 'lboxcox: Implementation of Logistic Box-Cox Regression'
version: 2.0.1
doi: 10.32614/CRAN.package.lboxcox
abstract: 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) <https://doi.org/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.
authors:
- family-names: Xing
  given-names: Li
  email: jnjfayaa@gmail.com
- family-names: Xu
  given-names: Shiyu
  email: xushiyu98@outlook.com
- family-names: Wang
  given-names: Jing
- family-names: Booth
  given-names: Kohlton
  email: booth.kohl@gmail.com
- family-names: Zhang
  given-names: Xuekui
- family-names: Burstyn
  given-names: Igor
- family-names: Gustafson
  given-names: Paul
repository: https://cran.r-universe.dev
commit: f8d0f31bb095a11f350797846ea14db91038adbe
date-released: '2026-09-05'
contact:
- family-names: Xing
  given-names: Li
  email: jnjfayaa@gmail.com