| frailtySurv {frailtySurv} | R Documentation |
General semiparametric shared frailty model
Description
frailtySurv provides a suite of functions for generating clustered survival data, fitting multivariate shared frailty models under a wide range of frailty distributions, and visualizing the output. The semi-parametric estimators have better asymptotic properties than most existing implementations, including consistent and asymptotically-normal estimators. Moreover, this is the first package that implements semi-parametric estimators with inverse Gaussian and PVF frailty models.
The frailtySurv package provides functions
Details
| Package: | frailtySurv |
| Type: | Package |
| Version: | 1.2.0 |
| Date: | August 2015 |
| License: | LGPL-2 |
| LazyLoad: | Yes |
Author(s)
John V. Monaco, Malka Gorfine, and Li Hsu.
References
Gorfine M, Zucker DM, Hsu L (2006) Prospective survival analysis with a general semiparametric shared frailty model: A pseudo full likelihood approach. Biometrika, 93(3), 735-741.
Zucker DM, Gorfine M, Hsu L (2008) Pseudo-full likelihood estimation for prospective survival analysis with a general semiparametric shared frailty model: Asymptotic theory. Journal of Statistical Planning and Inference, 138(7), 1998-2016.