splinesurv-package: Nonparametric bayesian survival analysis
In splinesurv: Nonparametric bayesian survival analysis

Description Details Author(s) References

Utilities for nonparametric Bayesian analysis of clustered survival data. The baseline hazard function and frailty density are modeled using penalized B-splines, and may optionally have a parametric component.

The core function is splinesurv, and methods for printing and plotting are provided as well. See the splinesurv documentation for details on model specification and fitting procedure.

Package:	splinesurv
Version:	0.3-4
Depends:	R (>= 2.5.0), MASS, survival
Suggests:	coda
License:	GPL (>= 2)
Packaged:	Wed Dec 26 18:47:45 2007; esharef
Built:	R 2.6.0; ; 2007-12-26 18:47:51; unix

Index:

\link{plot.splinesurv}         Plots for splinesurv objects
\link{predict.splinesurv}         Prediction for splinesurv objects
\link{splinesurv}              Bayesian survival analysis with B-spline
                        baseline hazard and random effects density
\link{summary.splinesurv}      Summary method for splinesurv objects

Emmanuel Sharef <ess28@cornell.edu> Robert L. Strawderman <rls54@cornell.edu> David Ruppert <dr24@cornell.edu>

Bayesian adaptive B-spline estimation in proportional hazards frailty models, Emmanuel Sharef, Robert L. Strawderman, David Ruppert, Mark Cowen, and Lakshmi Halasyamani, Electron. J. Statist. Volume 4 (2010), 606-642

splinesurv documentation built on May 2, 2019, 4:57 p.m.