NEWS.md

In wenjie2wang/intsurv: Integrative Survival Modeling

intsurv 0.2.2

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.

wenjie2wang/intsurv documentation built on April 4, 2021, 9:07 p.m.