bshazard-package

Nonparametric Smoothing of the Hazard Function

Nonparametric Smoothing of the Hazard Function

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. package

Details

The DESCRIPTION file: tools:::Rd_package_DESCRIPTION("bshazard")

tools:::Rd_package_indices("bshazard")

Author(s)

Paola Rebora, Agus Salim, Marie Reilly Maintainer: Paola Rebora paola.rebora@unimib.it

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)
  • Maintainer: Paola Rebora
  • License: GPL-2
  • Last published: 2024-05-12

Useful links