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splinesurv.r-forge.r-project.org

splinesurv

The splinesurv package contains utilities for nonparametric Bayesian analysis of clustered survival data using B-splines. The baseline hazard function and frailty density are modeled using penalized B-splines, and estimated by MCMC. The method is very flexible, with options including adaptive knot selection by reversible-jump Monte-Carlo, and the inclusion of a parametrically specified component for either curve. To install the package directly within R type. Or see the R-forge project page.

http://splinesurv.r-forge.r-project.org/

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splinesurv | splinesurv.r-forge.r-project.org Reviews
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The splinesurv package contains utilities for nonparametric Bayesian analysis of clustered survival data using B-splines. The baseline hazard function and frailty density are modeled using penalized B-splines, and estimated by MCMC. The method is very flexible, with options including adaptive knot selection by reversible-jump Monte-Carlo, and the inclusion of a parametrically specified component for either curve. To install the package directly within R type. Or see the R-forge project page.
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1 splinesurv
2 the splinesurv package
3 function
4 obtaining
5 documentation
6 authors
7 emmanuel sharef
8 david ruppert
9 coupons
10 reviews
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splinesurv | splinesurv.r-forge.r-project.org Reviews

https://splinesurv.r-forge.r-project.org

The splinesurv package contains utilities for nonparametric Bayesian analysis of clustered survival data using B-splines. The baseline hazard function and frailty density are modeled using penalized B-splines, and estimated by MCMC. The method is very flexible, with options including adaptive knot selection by reversible-jump Monte-Carlo, and the inclusion of a parametrically specified component for either curve. To install the package directly within R type. Or see the R-forge project page.

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splinesurv.r-forge.r-project.org splinesurv.r-forge.r-project.org
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Table of Contents

http://splinesurv.r-forge.r-project.org/toc_index.html

525 CWrappers/cmkgr.spline.haz. 526 CWrappers/cmklik.spline.frail. 527 CWrappers/cmklik.spline.haz. 531 makeLikelihood/mkgr.spline.haz. 535 makeLikelihood/mklik.param.frail. 536 makeLikelihood/mklik.param.haz. 537 makeLikelihood/mklik.spline.frail. 538 makeLikelihood/mklik.spline.frail.init. 539 makeLikelihood/mklik.spline.haz. 5310 makeLikelihood/mklik.weight.frail. 5311 makeLikelihood/mklik.weight.haz. 546 MetropolisHastings/mh.frailty.param. 547 MetropolisHastings/mh.frailty.spline.

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The splinesurv package contains utilities for nonparametric Bayesian analysis of clustered survival data using B-splines. The baseline hazard function and frailty density are modeled using penalized B-splines, and estimated by MCMC. The method is very flexible, with options including adaptive knot selection by reversible-jump Monte-Carlo, and the inclusion of a parametrically specified component for either curve. To install the package directly within R type. Or see the R-forge project page.

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