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cox_cure() and
cox_cure_net() through helper functions
cox_cure.control(), cox_cure.mstep(),
cox_cure_net.penalty().cv_nfolds to
cox_cure_net() and cox_cure_net.fit() for
model selection by cross-validation.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.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.inst/include/ so that they
can be linked by other packages.cox_cure and
cox_cure_net.cIndex.cox_cure for fitting regular Cox cure
rate model and an extended Cox cure rate model for right-censored data
with uncertain event status.cox_cure_net for fitting regularized Cox
cure rate model for right-censored data with possible uncertain event
status.cIndex for computing concordance index
with possible weights.simData4cure for simulating survival
data with possible uncertain event status.These binaries (installable software) and packages are in development.
They may not be fully stable and should be used with caution. We make no claims about them.
Health stats visible at Monitor.