Bivariate Logistic Box-Cox Regression
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Documentation for package ‘mvboxcox’ version 0.1.4
Help Pages
| depress | NHANES Depression and Blood Metals Data |
| ld | Boxcox transformation |
| mvbc.fullformula | Build the full Box-Cox model formula |
| mvbc.glm.step | Single train/test glm fit at a fixed lambda |
| mvbc.median.effect | Median effects from a fitted BLBC model |
| mvbc.optimizer | Optimizer |
| mvbc.predict | Predict probability from a trained 'mvbc.train.model' |
| mvbc.simulator | Simulator |
| mvbc.tester | Tester |
| mvbc.train | Train |
| mvbc.trainer | Trainer |
| mvbc.trainer.fit | Workhorse to fit instance of 'mvbc.trainer.model' |
| mvbc.trainer.predict.p_hat | Predict probability |
| mvbc.trainer.predict.Ybin_hat | Predict outcomes |
| mvbc.trainer.ssr | Sum of Squares residuals |
| plot.mvbc.sim.result | Plot instance of 'mvbc.sim.result' |
| plot.mvbc.tester.result | Plot instance of 'mvbc.tester.result' |
| summary.mvbc.sim.result | Summarize instance of 'mvbc.sim.result' |
| summary.mvbc.simulator.model | Summarize instance of 'mvbc.simulator.model' |
| summary.mvbc.tester.result | Summarize instance of 'mvbc.tester.result' |
| summary.mvbc.trainer.model | Summarize instance of 'mvbc.trainer.model' |