NEWS
landmaRk 0.1.2
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 (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.