Description: Semiparametric regression models on the cumulative incidence function for interval-censored competing risks data as described in Bakoyannis, Yu, & Yiannoutsos (2017) <doi:10.1002/sim.7350>. In addition, missing event types or left truncation are considered. We provide the proportional subdistribution hazards model (Fine-Gray model), the proportional odds model, and other models that belong to the class of semiparametric generalized odds rate transformation models.

Author: Giorgos Bakoyannis <gbakogia@iu.edu>, Jun Park <jun.park@alumni.iu.edu>
Description: Semiparametric regression models on the cumulative incidence function for interval-censored competing risks data as described in Bakoyannis, Yu, & Yiannoutsos (2017) <doi:10.1002/sim.7350> and the models with missing event types as described in Park, Bakoyannis, Zhang, & Yiannotsos (2021) <doi:10.1093/biostatistics/kxaa052>. The proportional subdistribution hazards model (Fine-Gray model), the proportional odds model, and other models that belong to the class of semiparametric generalized odds rate transformation models.
Imports: alabama, doParallel, foreach, MASS, parallel, stats, utils

Description: Semiparametric regression models on the cumulative incidence function for interval-censored competing risks data as described in Bakoyannis, Yu, & Yiannoutsos (2017) /doi{10.1002/sim.7350} and the models with missing event types as described in Park, Bakoyannis, Zhang, & Yiannoutsos (2021) \doi{10.1093/biostatistics/kxaa052}. The proportional subdistribution hazards model (Fine-Gray model), the proportional odds model, and other models that belong to the class of semiparametric generalized odds rate transformation models.
Imports: alabama, doParallel, foreach, MASS, parallel, splines2, stats,

Title: Fast Spline Function Based Constrained Maximum Likelihood
Estimator for AUC Estimation of Interval Censored Survival Data
Author: Jiaxing Lin, Yuan Wu, Xiaofei Wang, Kouros Owzar.
Description: The kernel of this 'Rcpp' based package is an efficient implementation of the generalized gradient projection method for spline function based constrained maximum likelihood estimator for interval censored survival data (Wu, Yuan; Zhang, Ying. Partially monotone tensor spline estimation of the joint distribution function with bivariate current status data. Ann. Statist. 40, 2012, 1609-1636 <doi:10.1214/12-AOS1016>). The key function computes the density function of the joint distribution of event time and the marker and returns the receiver operating characteristic (ROC) curve for the interval censored survival data as well as area under the curve (AUC).