Changes in version 0.2.2.9000                      

Bug Fixes

  - Fixed a bug in predict_counterfactual that the ordering of the
    treatment levels affect the order of the marginal mean.

Misc

  - Added Biometric Bulletin vignette article.

                 Changes in version 0.2.2 (2026-01-09)                  

New features

  - 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.

Bug Fixes

  - 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.

Misc

  - Changed from sp to sr which is easier to read as "simple
    randomization".
  - The print output for robin_surv objects has been improved for better
    readability.

                 Changes in version 0.2.1 (2025-09-11)                  

New features

  - Now multiple stratification variables are supported in robin_surv by
    adding them on the right-hand side of the treatment formula.

Bug Fixes

  - There will be no more spurious warnings in 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.
  - When adjusting for a single factor covariate, or when the covariate
    is strongly correlated with a strata variable in robin_surv, the
    function now works correctly and does not fail with a "singular
    design matrix" error any longer.
  - Fixed a bug in covariate-adjusted survival function estimation in
    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.

                 Changes in version 0.2.0 (2025-09-09)                  

New features

  - Add survival analysis with log-rank test and hazard ratio
    estimation.
  - Add log_odds_ratio and log_risk_ratio function for inference.
  - Add contrast_mat to treatment_effect object.
  - Add confint to obtain confidence interval for prediction_cf and
    treatment_effect object.

Bug Fixes

  - Previously in robin_glm, vcovG is always used regardless the
    variance type argument. This is fixed now.

Misc

  - Reorganized the output structure of robin_glm and robin_lm.

                 Changes in version 0.1.1 (2025-04-03)                  

New features

  - Add unbiased counter-factual prediction.
  - Add robust sandwich variance for the marginal treatment effect.