Skip to contents

Changelog

Source: NEWS.md

landmaRk (development version)

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().

landmaRk 0.1.1

CRAN release: 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.

landmaRk 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.