R: ROBust INference for Covariate Adjustment in Randomized Clinical Trials

# ROBust INference for Covariate Adjustment in Randomized Clinical Trials

## Documentation for package ‘RobinCar2’ version 0.2.2

- DESCRIPTION file
- User guides, package vignettes and other documentation
- Package NEWS

## Help Pages

RobinCar2-package | 'RobinCar2' Package
against_ref | Contrast Functions and Jacobians
confint | Confidence Interval
confint.prediction_cf | Confidence Interval
confint.surv_effect | Confidence Interval
confint.treatment_effect | Confidence Interval
custom_contrast | Contrast Functions and Jacobians
difference | Treatment Effect
eff_jacob | Contrast Functions and Jacobians
find_data | Find Data in a Fit
glm_data | Example Trial Data for GLMs with Permute-Block Randomization
h_diff | Contrast Functions and Jacobians
h_jac_diff | Contrast Functions and Jacobians
h_jac_log_odds_ratio | Contrast Functions and Jacobians
h_jac_log_risk_ratio | Contrast Functions and Jacobians
h_jac_odds_ratio | Contrast Functions and Jacobians
h_jac_risk_ratio | Contrast Functions and Jacobians
h_log_odds_ratio | Contrast Functions and Jacobians
h_log_risk_ratio | Contrast Functions and Jacobians
h_odds_ratio | Contrast Functions and Jacobians
h_risk_ratio | Contrast Functions and Jacobians
log_odds_ratio | Treatment Effect
log_risk_ratio | Treatment Effect
odds_ratio | Treatment Effect
pairwise | Contrast Functions and Jacobians
predict_counterfactual | Counterfactual Prediction
print.surv_effect | S3 Methods for 'surv_effect'
risk_ratio | Treatment Effect
RobinCar2 | 'RobinCar2' Package
robin_glm | Covariate adjusted glm model
robin_lm | Covariate adjusted lm model
robin_surv | Covariate Adjusted and Stratified Survival Analysis
surv_data | Survival Example Data
surv_effect_methods | S3 Methods for 'surv_effect'
table | S3 Methods for 'surv_effect'
table.default | S3 Methods for 'surv_effect'
table.surv_effect | S3 Methods for 'surv_effect'
treatment_effect | Treatment Effect
vcovG | Generalized Covariance (ANHECOVA)
vcovHC | Heteroskedasticity-consistent covariance matrix for predictions