{ "_id": "6aeae533818c9e3ef6dc07e3", "Package": "lboxcox", "Type": "Package", "Title": "Implementation of Logistic Box-Cox Regression", "Version": "2.0.1", "Date": "2026-09-05", "Authors@R": "c(\nperson(\"Li\", \"Xing\", email = \"jnjfayaa@gmail.com\", role = c(\"cre\", \"aut\")),\nperson(\"Shiyu\", \"Xu\", email = \"xushiyu98@outlook.com\", role = \"aut\"),\nperson(\"Jing\", \"Wang\", role = \"aut\"),\nperson(\"Kohlton\", \"Booth\", email = \"booth.kohl@gmail.com\", role = \"aut\"),\nperson(\"Xuekui\", \"Zhang\", role = \"aut\"),\nperson(\"Igor\", \"Burstyn\", role = \"aut\"),\nperson(\"Paul\", \"Gustafson\", role = \"aut\"))", "Maintainer": "Li Xing ", "Description": "Implements a logistic Box-Cox model that adds a shape\nparameter to a routine logistic regression model to flexibly\nestimate the shape and strength of the relationship between a\nbinary outcome and a continuous predictor, adjusting for\ncovariates and survey weights. This model is fully described in\nXing, L. et al. 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