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BayesPieceHazSelect  

Variable Selection in a Hierarchical Bayesian Model for a Hazard Function
View on CRAN: Click here


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

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

Install by package version:
library("remotes")
install_version("BayesPieceHazSelect", "1.1.0")



Attach the package and use:
library("BayesPieceHazSelect")
Maintained by
Andrew Chapple
[Scholar Profile | Author Map]
All associated links for this package
First Published: 2017-01-26
Latest Update: 2017-01-26
Description:
Fits a piecewise exponential hazard to survival data using a Hierarchical Bayesian model with an Intrinsic Conditional Autoregressive formulation for the spatial dependency in the hazard rates for each piece. This function uses Metropolis- Hastings-Green MCMC to allow the number of split points to vary and also uses Stochastic Search Variable Selection to determine what covariates drive the risk of the event. This function outputs trace plots depicting the number of split points in the hazard and the number of variables included in the hazard. The function saves all posterior quantities to the desired path.
How to cite:
Andrew Chapple (2017). BayesPieceHazSelect: Variable Selection in a Hierarchical Bayesian Model for a Hazard Function. R package version 1.1.0, https://cran.r-project.org/web/packages/BayesPieceHazSelect. Accessed 09 Sep. 2026.
Previous versions and publish date:
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Other R packages that BayesPieceHazSelect depends, imports, suggests or enhances
Complete documentation for BayesPieceHazSelect
Functions, R codes and Examples using the BayesPieceHazSelect R package
Some associated functions: PiecewiseBayesSelect . 
Some associated R codes: PiecewiseBayesSelect.R .  Full BayesPieceHazSelect package functions and examples
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