- Add fully parametric survival models
- Fix broken CI
- Slight speed up in Akritas model by adding parameters to control number of unique time-points
- Add cpp method for asserting survival matrices
- Upgraded DNNSurv for keras 2.11.0
- Added examples to readme
- Fixes for distr6 1.6.8
- Exported
surv_to_riskfor reducing survival matrix distributions to relative risks / rankings
- Better handling of improper distributions
- Fixes bug in Python conversion
- Removed deprecated
cutoffparameter fromsimsurvdata - Update risk calculations to follow https://arxiv.org/abs/2112.04828
- Minor internal changes
- Added tutorial with survivalmodels and mlr3proba
- Bugfix for distr6 1.6.0
- Add example of custom model to
DNNSurv - Change default of
piptoTRUEininstall_functions
- Fix export of
set_seedandcindex
- Add
set_seedfor easier setting of seeds within R and Python environments
- Fixed bug in
riskreturn type whendistr6 = FALSE - Added
cindexfor evaluating concordance of risk
- Improved
riskreturn type for discrimination
- Previous
riskpredictions returned values where lower ranks implied higher risk, now higher rank implies higher risk. Calculated as the negative mean survival time.
- Minor patch for CRAN
- Patch for clang-ASAN, gcc-ASAN, valgrind
- Initial release