- 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_risk
for reducing survival matrix distributions to relative risks / rankings
- Better handling of improper distributions
- Fixes bug in Python conversion
- Removed deprecated
cutoff
parameter 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
pip
toTRUE
ininstall_
functions
- Fix export of
set_seed
andcindex
- Add
set_seed
for easier setting of seeds within R and Python environments
- Fixed bug in
risk
return type whendistr6 = FALSE
- Added
cindex
for evaluating concordance of risk
- Improved
risk
return type for discrimination
- Previous
risk
predictions 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