Changes in version 0.1.3 (2026-07-02)                  

Bug Fixes

  - landmaRk now supports more than one dynamic covariate.

                 Changes in version 0.1.2 (2026-06-26)                  

New Features

  - predict_longitudinal() now supports custom "summary measure"
    functions for method (in the same spirit as "locf"), computed
    directly from the raw longitudinal data without requiring a prior
    fit_longitudinal() call. Such functions must have arguments data,
    id, time, value and landmark.

Bug Fixes

  - predict_longitudinal() no longer requires fit_longitudinal() to have
    been called when method is a summary measure (e.g. "locf" or a
    custom function); the check for an existing model fit is now only
    applied to fit-based prediction methods (e.g. "lcmm", "lme4").
    `"locf"' is implemented as a special case of summary measure

Other Changes

  - Removed timeROC from Imports as it is no longer used.
  - Resolved an R CMD check NOTE about a missing global binding for AUC
    in performance_metrics().

                 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.