ROBust INference for Covariate Adjustment in Randomized Clinical Trials


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Documentation for package ‘RobinCar2’ version 0.1.1

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RobinCar2-package 'RobinCar2' Package
against_ref Contrast Functions and Jacobians
custom_contrast Contrast Functions and Jacobians
difference Treatment Effect
dummy_data Dummy Trial Data with Permute-Block Randomization
eff_jacob Contrast Functions and Jacobians
find_data Find Data in a Fit
h_diff Contrast Functions and Jacobians
h_jac_diff Contrast Functions and Jacobians
h_jac_odds_ratio Contrast Functions and Jacobians
h_jac_ratio Contrast Functions and Jacobians
h_odds_ratio Contrast Functions and Jacobians
h_ratio Contrast Functions and Jacobians
odds_ratio Treatment Effect
pairwise Contrast Functions and Jacobians
predict_counterfactual Counterfactual Prediction
risk_ratio Treatment Effect
RobinCar2 'RobinCar2' Package
robin_glm Covariate adjusted glm model
robin_lm Covariate adjusted lm model
treatment_effect Treatment Effect
vcovG ANHECOVA Covariance
vcovHC Heteroskedasticity-consistent covariance matrix for predictions