Changes in version 0.1.1 (2026-05-27)                  

  - Package is made publicly available via CRAN.

New Features

  - AUC(t) metric for evaluating landmark models.
  - Cross-validation support for model evaluation.
  - Subject-specific predictions with LCMM.
  - Cluster assignment from LCMM fits can be used in the survival step.
  - summary() method for LandmarkAnalysis class.
  - prune() method for LandmarkAnalysis class.
  - Parallelised longitudinal model fitting.
  - Survival plots via plot() method.
  - Convergence messages for fitted models.
  - Print number of subjects in each risk set for show() method.

Bug Fixes

  - Fixed cross-validation not working correctly with LCMM.
  - Fixed LOCF (last observation carried forward) issues.
  - Fixed bug where static covariates were not used in Cox PH models.
  - Fixed bug selecting IDs for survival analysis.
  - Fixed bugs in working out risk sets.
  - Fixed Windows parallelism issues.
  - Better error handling for fit_survival() when predictions are not
    available.
  - Character covariates are now converted to factors.

Other Changes

  - Renamed package from landmarkR to landmaRk.
  - Renamed main class to LandmarkAnalysis.
  - Standardised horizon parameter handling.
  - Now depends on release version of lcmm (>= 2.2.2).
  - Baseline set to 0 for all survival models.
  - Internal functions refactored into smaller functions.
  - Code formatted using Air.
  - Added CODE_OF_CONDUCT.md.

                     Changes in version 0.0.0.9000                      

  - Package is made publicly available via r-universe and GitHub.

Features

  - Support for lmer, and hlme is added for longitudinal sub-models.
  - Support for last observation carried forward (LOCF).
  - Support for cox proportional hazards survival sub-model.
  - C-index and Brier score metrics are implemented for evaluating
    landmark models.
  - Support for arbitrary longitudinal sub-models.