splinesurv: Nonparametric bayesian survival analysis

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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.

Author
Emmanuel Sharef <ess28@cornell.edu>, Robert L. Strawderman <rls54@cornell.edu>, and David Ruppert <dr24@cornell.edu>
Date of publication
2010-07-29 23:43:26
Maintainer
Emmanuel Sharef <ess28@cornell.edu>
License
GPL (>= 2)
Version
0.6-14
URLs

View on R-Forge

Man pages

dic.splinesurv
Deviance Information Criterion (DIC) for splinesurv fits
plot.splinesurv
Plots for splinesurv objects
predict.splinesurv
Prediction for splinesurv objects
sim.sample
Simulated survival data generator
splinesurv
Bayesian survival analysis with B-spline baseline hazard and...
splinesurv-package
Nonparametric bayesian survival analysis
summary.splinesurv
Summary method for splinesurv objects

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