splinesurv: Nonparametric bayesian survival analysis

Utilities for nonparametric Bayesian analysis of clustered survival data. The baseline hazard function and frailty density are modeled using penalized B-splines. Options include adaptive knot selection and the inclusion of a parametric component.

AuthorEmmanuel Sharef <ess28@cornell.edu>, Robert L. Strawderman <rls54@cornell.edu>, and David Ruppert <dr24@cornell.edu>
Date of publication2010-07-29 23:43:26
MaintainerEmmanuel Sharef <ess28@cornell.edu>
LicenseGPL (>= 2)
Version0.6-14
http://splinesurv.r-forge.r-project.org/, http://projecteuclid.org/euclid.ejs/1278439436

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Files in this package

splinesurv
splinesurv/R
splinesurv/R/splinefrailty.r
splinesurv/NAMESPACE
splinesurv/DESCRIPTION
splinesurv/ChangeLog
splinesurv/man
splinesurv/man/dic.splinesurv.Rd splinesurv/man/plot.splinesurv.Rd splinesurv/man/splinesurv-package.Rd splinesurv/man/splinesurv.Rd splinesurv/man/predict.splinesurv.Rd splinesurv/man/sim.sample.Rd splinesurv/man/summary.splinesurv.Rd
splinesurv/src
splinesurv/src/init.c
splinesurv/src/init.h
splinesurv/src/Makevars
splinesurv/src/mainloop.c

Questions? Problems? Suggestions? or email at ian@mutexlabs.com.

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