| GORCure-package {GORCure} | R Documentation |
Fit Generalized Odds Rate Mixture Cure Model with Interval Censored Data
Description
Generalized Odds Rate Mixture Cure (GORMC) model is a flexible cure model which includes the Proportional Hazards Mixture Cure (PHMC) model and the Proportional Odds Mixture Cure (POMC) model as special cases. When the survival data is interval censored, this package provides an efficient solution for the GORMC model based on a gamma-possion data augmentation.
Details
| Package: | GORCure |
| Type: | Package |
| Version: | 2.0 |
| Date: | 2017-01-12 |
| License: | GPL-2 |
The main function is GORMC, which produces the estimates for coefficients and the covariance matrix. The summary function can be used to get the test results of the coefficients. The predict function can be used to obtain the estimated cure rate and survival curve for an individual with specified covariates for the cure rate and survival parts separatly. The plot function can be applied to generate the predicted survival curve for that individual.
Author(s)
Jie Zhou, Jiajia Zhang, Wenbin Lu
Maintainer: Jie Zhou <zhoujie02569@gmail.com>
References
Zhou, J., Zhang, J. and Lu, W. (2017+). Computationally Efficient Estimation for the Generalized Odds Rate Mixture Cure Model with Interval Censored Data.