predict_counterfactual that the ordering of the treatment levels affect the order of the marginal mean.The user interface for robin_surv has been improved for specifying analysis stratification variables directly as part of the model formula, similar to how it is done in survival::coxph. In addition, the randomization scheme is now specified as for the other RobinCar2 functions for consistency. A warning will be issued when the randomization strata are not adequately included in the analysis model. See the updated vignette for details.
It is now possible to only perform the log rank test, without estimating the log hazard ratio, in robin_surv by setting the argument contrast = "none". This can be useful e.g. when performing simulation studies focusing only on the log-rank test operating characteristics, because the log-rank test is computationally less expensive than estimating the hazard ratio.
Fixed a bug in covariate-adjusted stratified survival function estimation in robin_surv which could occur when there are character covariates with values only appearing in one stratum, which could have failed or lead to incorrect results.
Fixed a issue in robin_lm that variance method does not apply correctly.
Fixed a issue in robin_glm that vcovHC could previously be used for non-Gaussian family.
Fixed another bug in covariate-adjusted stratified survival function estimation in robin_surv, which resulted from design matrices separately derived per stratum. Now the design matrix is created once including the stratum indicator, and then the stratum-specific parts are extracted as needed.
sp to sr which is easier to read as "simple randomization".robin_surv objects has been improved for better readability.robin_surv by adding them on the right-hand side of the treatment formula.robin_surv during the hazard ratio estimation coming from the variance calculation: Now the variance is only calculated after the hazard ratio estimate is obtained.robin_surv, the function now works correctly and does not fail with a "singular design matrix" error any longer.robin_surv which could occur when there are character covariates with values only appearing in one treatment group, which could have led to incorrect results.log_odds_ratio and log_risk_ratio function for inference.contrast_mat to treatment_effect object.confint to obtain confidence interval for prediction_cf and treatment_effect object.robin_glm, vcovG is always used regardless the variance type argument. This is fixed now.robin_glm and robin_lm.