Changes in version 0.3.0 (2025-09-29) Major changes - Simplified the interface of functions cox_cure() and cox_cure_net() through helper functions cox_cure.control(), cox_cure.mstep(), cox_cure_net.penalty(). Minor changes - Avoid unnecessary internal data standardization to improve computation efficiency. Changes in version 0.2.2 (2021-01-08) 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. Changes in version 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. Changes in version 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. Changes in version 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.