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BayesReversePLLH  

Fits the Bayesian Piecewise Linear Log-Hazard Model
View on CRAN: Click here


Download and install BayesReversePLLH package within the R console
Install from CRAN:
install.packages("BayesReversePLLH")

Install from Github:
library("remotes")
install_github("cran/BayesReversePLLH")

Install by package version:
library("remotes")
install_version("BayesReversePLLH", "1.5")



Attach the package and use:
library("BayesReversePLLH")
Maintained by
Andrew G Chapple
[Scholar Profile | Author Map]
All associated links for this package
First Published: 2020-02-01
Latest Update: 2022-10-20
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.
How to cite:
Andrew G Chapple (2020). BayesReversePLLH: Fits the Bayesian Piecewise Linear Log-Hazard Model. R package version 1.5, https://cran.r-project.org/web/packages/BayesReversePLLH
Previous versions and publish date:
1.2 (2020-02-01 11:20), 1.3 (2020-02-07 02:10), 1.4 (2020-10-06 21:50)
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