Package: BayesReversePLLH 1.5
Andrew G Chapple
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.
Authors:
BayesReversePLLH_1.5.tar.gz
BayesReversePLLH_1.5.tar.gz(r-4.5-noble)BayesReversePLLH_1.5.tar.gz(r-4.4-noble)
BayesReversePLLH_1.5.tgz(r-4.4-emscripten)BayesReversePLLH_1.5.tgz(r-4.3-emscripten)
BayesReversePLLH.pdf |BayesReversePLLH.html✨
BayesReversePLLH/json (API)
# Install 'BayesReversePLLH' in R: |
install.packages('BayesReversePLLH', repos = c('https://cran.r-universe.dev', 'https://cloud.r-project.org')) |
This package does not link to any Github/Gitlab/R-forge repository. No issue tracker or development information is available.
Last updated 2 years agofrom:4bd120c598. Checks:OK: 1 NOTE: 1. Indexed: yes.
Target | Result | Date |
---|---|---|
Doc / Vignettes | OK | Oct 31 2024 |
R-4.5-linux-x86_64 | NOTE | Oct 31 2024 |
Exports:ApproxMeanBayesPiecewiseHazardBayesPiecewiseHazardCOVBayesPiecewiseHazardTrtBayesPiecewiseLinearLogHazardBayesPiecewiseLinearLogHazardCOVBayesPiecewiseLinearLogHazardTrtGetALLHazLogSlopeGetALLHazPieceGetALLSurvPEHGetALLSurvPLLHPostMeanHazLogSlopePostMeanHazPiecePostMeanSurvPEHPostMeanSurvPLLH
Dependencies:RcppRcppArmadillo