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.