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.


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install.packages("BayesReversePLLH")

1.4 by Andrew G Chapple, 20 days ago


Browse source code at https://github.com/cran/BayesReversePLLH


Authors: Andrew G Chapple


Documentation:   PDF Manual  


GPL-2 license


Imports Rcpp

Linking to Rcpp, RcppArmadillo


See at CRAN