Man pages for RobinCar2
ROBust INference for Covariate Adjustment in Randomized Clinical Trials

biasPrediction Bias
block_sumBlock Sum of a matrix
confintConfidence Interval
contrastContrast Functions and Jacobians
derived_outcome_valsDerive Outcome Values Based on Log Hazard Ratio
find_dataFind Data in a Fit
get_beta_estimatesCalculate Coefficient Estimates from Linear Model Input
get_lm_inputGet Linear Model Input Data
glm_dataExample Trial Data for GLMs with Permute-Block Randomization
h_adjust_piObtain Adjustment for Proportion of Treatment Assignment
h_confintConfidence interval calculations which are common across...
h_events_tablePrepare Events Table
h_get_erbObtain Adjustment for Covariance Matrix
h_get_varsExtract Variable Names
h_interactionEvaluate if Interaction Exists
h_log_hr_coef_matLog Hazard Ratio Coefficient Matrix
h_log_hr_est_via_scoreEstimate Log Hazard Ratio via Score Function
h_lr_test_via_scoreLog-Rank Test via Score Function
h_n_events_per_timeCount Number of Events per Unique Event Time
h_prep_survival_inputPrepare Survival Input
h_test_matLog-Rank Test Results Matrix
jac_matObtain the Jacobian matrix
predict_counterfactualCounterfactual Prediction
prediction_cf_methodsS3 Methods for 'prediction_cf'
randomization_schemaRandomization schema
RobinCar2-package'RobinCar2' Package
robin_glmCovariate adjusted glm model
robin_lmCovariate adjusted lm model
robin_survCovariate Adjusted and Stratified Survival Analysis
robin_surv_comparisonLog Hazard Ratio Estimation and Log-Rank Test via Score...
sum_vectors_in_listSum vectors in a list
surv_dataSurvival Example Data
surv_effect_methodsS3 Methods for 'surv_effect'
survival_comparison_functionsSurvival Comparison Functions
survival_score_functionsLog-Rank Score Functions for Survival Analysis
treatment_effectTreatment Effect
update_levelsUpdate levels in a contrast pair
vcovGGeneralized Covariance (ANHECOVA)
vcovHCHeteroskedasticity-consistent covariance matrix for...
RobinCar2 documentation built on Sept. 9, 2025, 5:28 p.m.