bshazard-package: Nonparametric Smoothing of the Hazard Function

In bshazard: Nonparametric Smoothing of the Hazard Function

Nonparametric Smoothing of the Hazard Function

Description

The function estimates the hazard function non parametrically from a survival object (possibly adjusted for covariates). The smoothed estimate is based on B-splines from the perspective of generalized linear mixed models. Left truncated and right censoring data are allowed.

Details

The DESCRIPTION file: This package was not yet installed at build time.
Index: This package was not yet installed at build time.

Author(s)

Paola Rebora, Agus Salim, Marie Reilly Maintainer: Paola Rebora <[e-mail]>

References

Rebora P, Salim A, Reilly M (2014) bshazard: A Flexible Tool for Nonparametric Smoothing of the Hazard Function.The R Journal Vol. 6/2:114-122.

Lee Y, Nelder JA, Pawitan Y (2006). Generalized Linear Models with Random Effects: Unified Analysis via H-likelihood, volume 106. Chapman & Hall/CRC.

Pawitan Y (2001). In All Likelihood: Statistical Modelling and Inference Using Likelihood. Oxford University Press

Examples

data(cancer,package="survival")
  fit<-bshazard(Surv(time, status==2) ~ 1,data=lung)
  plot(fit)

bshazard documentation built on May 29, 2024, 11:30 a.m.