CRAN/E | BayesReversePLLH

BayesReversePLLH

Fits the Bayesian Piecewise Linear Log-Hazard Model

Installation

About

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.

Key Metrics

Version 1.5
Published 2022-10-20 548 days ago
Needs compilation? yes
License GPL-2
CRAN checks BayesReversePLLH results

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Maintainer

Maintainer

Andrew G Chapple

achapp@lsuhsc.edu

Authors

Andrew G Chapple

Material

Reference manual
Package source

macOS

r-release

arm64

r-oldrel

arm64

r-release

x86_64

r-oldrel

x86_64

Windows

r-devel

x86_64

r-release

x86_64

r-oldrel

x86_64

Old Sources

BayesReversePLLH archive

Imports

Rcpp ≥ 0.12.18

LinkingTo

Rcpp
RcppArmadillo