BayesReversePLLH

Fits the Bayesian Piecewise Linear Log-Hazard Model

CRAN Package

Contains posterior samplers for the Bayesian piecewise linear log-hazard and piecewise exponential hazard models, including Cox models. Posterior mean restricted survival times are also computed for non-Cox an Cox models with only treatment indicators. The ApproxMean() function can be used to estimate restricted posterior mean survival times given a vector of patient covariates in the Cox model. Functions included to return the posterior mean hazard and survival functions for the piecewise exponential and piecewise linear log-hazard models. Chapple, AG, Peak, T, Hemal, A (2020). Under Revision.

  • Version1.5
  • R versionunknown
  • LicenseGPL-2
  • Needs compilation?Yes
  • Last release10/20/2022

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  • Imports1 package
  • Linking To2 packages