Implementation of Logistic Box-Cox Regression


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Documentation for package ‘lboxcox’ version 2.0.1

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depress Depression dataset
devr Deviance residual prediction error
lbc_maxlik Fit a logistic Box-Cox model by direct likelihood maximization
lbc_train_all Bootstrap-ensemble logistic Box-Cox model around 'lbc_train_ms'
lbc_train_bagging Bootstrap-ensemble logistic Box-Cox model around 'lbc_maxlik'
lbc_train_ms Fit a logistic Box-Cox model from multiple starting points
lboxcox_cv.fit Select the Box-Cox lambda by cross-validated deviance residual
lboxcox_cv.predict Predict from a 'lboxcox_cv.fit' model
lboxcox_maxLik.predict Predict from a fitted logistic Box-Cox model
lboxcox_maxLik_el.predict Predict from a bootstrap-ensemble logistic Box-Cox model
median_effect Median exposure-response slope of a fitted logistic Box-Cox model