BayesReversePLLH: Fits the Bayesian Piecewise Linear Log-Hazard Model (original) (raw)
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.
Version: | 1.5 |
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Imports: | Rcpp (≥ 0.12.18) |
LinkingTo: | Rcpp, RcppArmadillo |
Published: | 2022-10-20 |
DOI: | 10.32614/CRAN.package.BayesReversePLLH |
Author: | Andrew G Chapple |
Maintainer: | Andrew G Chapple |
License: | GPL-2 |
NeedsCompilation: | yes |
CRAN checks: | BayesReversePLLH results |
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