BayesReversePLLH: Fits the Bayesian Piecewise Linear Log-Hazard Model

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.

Getting started

Package details

AuthorAndrew G Chapple
MaintainerAndrew G Chapple <achapp@lsuhsc.edu>
LicenseGPL-2
Version1.4
Package repositoryView on CRAN
Installation Install the latest version of this package by entering the following in R:
install.packages("BayesReversePLLH")

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BayesReversePLLH documentation built on Oct. 23, 2020, 8:27 p.m.