NEWS
intsurv 0.2.2.9000
New features
- Added AIC to outputs of fitted Cox cure models.
- Added a new argument named
cv_nfolds to cox_cure_net() and
cox_cure_net.fit() for model selection by cross-validation.
- Added new arguments named
surv_offset and cure_offset for optional offset
terms in survival model component and incidence model component, respectively,
to cox_cure(), cox_cure.fit(), cox_cure_net(), and cox_cure_net.fit().
One or more offset terms can be also specified via corresponding formula.
Bug fixes
- Fixed issue caused by zeros in specified
surv_l1_penalty_factor and
cure_l1_penalty_factor for cox_cure_net() and cox_cure_net.fit(). Thank
Sy Han Chiou for reporting this issue.
intsurv 0.2.1 (2019-12-18)
Minor changes
- Moved C++ header files to
inst/include/ so that they can be linked by other
packages.
- Added testing suite with help of the tinytest package.
- Adjusted default maximum number of iterations in M-steps for possibly faster
convergence in function
cox_cure and cox_cure_net.
Bug fixes
- Fixed weight indices in function
cIndex.
intsurv 0.2.0 (2019-08-03)
New features
- Added function
cox_cure for fitting regular Cox cure rate model and an
extended Cox cure rate model for right-censored data with uncertain event
status.
- Added function
cox_cure_net for fitting regularized Cox cure rate model for
right-censored data with possible uncertain event status.
- Added function
cIndex for computing concordance index with possible weights.
- Added function
simData4cure for simulating survival data with possible
uncertain event status.
intsurv 0.1.0
Major changes
- Added methods for parameters' initialization.
New features
- Alpha version of the package for paper submission and ease of reproducing main
simulation results.