Package: BayesReversePLLH
Type: Package
Title: Fits the Bayesian Piecewise Linear Log-Hazard Model
Version: 1.3
Date: 2020-01-14
Author: Andrew G Chapple 
Maintainer: Andrew G Chapple <achapp@lsuhsc.edu>
Description: 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.
License: GPL-2
Encoding: UTF-8
Imports: Rcpp (>= 0.12.18)
LinkingTo: Rcpp, RcppArmadillo
RoxygenNote: 6.1.1
NeedsCompilation: yes
Packaged: 2020-02-06 22:19:41 UTC; achapp
Repository: CRAN
Date/Publication: 2020-02-07 01:10:19 UTC
Built: R 3.6.3; x86_64-w64-mingw32; 2020-08-05 04:12:01 UTC; windows
Archs: i386, x64
