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
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
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-alpha.2
Major changes
- Added methods for parameters’ initialization.
intsurv 0.1.0-alpha.1
New features
- Alpha version of the package for paper submission and ease of
reproducing main simulation results.