frailtySurv: General semiparametric shared frailty model

In frailtySurv: General Semiparametric Shared Frailty Model

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

• genfrail for data generation

• fitfrail for model fitting

• simfrail for survival simulation

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.

See Also

genfrail, fitfrail, simfrail

frailtySurv documentation built on Aug. 14, 2023, 1:06 a.m.