Other packages > Find by keyword >

BayesPiecewiseICAR  

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


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

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

Install by package version:
library("remotes")
install_version("BayesPiecewiseICAR", "0.2.1")



Attach the package and use:
library("BayesPiecewiseICAR")
Maintained by
Andrew Chapple
[Scholar Profile | Author Map]
All associated links for this package
First Published: 2016-07-27
Latest Update:
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. This function outputs graphics that display the histogram of the number of split points and the trace plots of the hierarchical parameters. The function outputs a list that contains the posterior samples for the number of split points, the location of the split points, and the log hazard rates corresponding to these splits. Additionally, this outputs the posterior samples of the two hierarchical parameters, Mu and Sigma^2.
How to cite:
Andrew Chapple (2016). BayesPiecewiseICAR: Hierarchical Bayesian Model for a Hazard Function. R package version 0.2.1, https://cran.r-project.org/web/packages/BayesPiecewiseICAR. Accessed 23 Jul. 2026.
Previous versions and publish date:
0.1.0 (2016-07-27 19:00), 0.1.1 (2016-07-29 18:31), 0.2.0 (2016-08-20 10:31), 0.2.1 (2017-01-04 10:56), (2026-07-09 07:58)
Other packages that cited BayesPiecewiseICAR R package
View BayesPiecewiseICAR citation profile
Other R packages that BayesPiecewiseICAR depends, imports, suggests or enhances
Functions, R codes and Examples using the BayesPiecewiseICAR R package
Some associated functions: ICARBHSampler . 
Some associated R codes: ICARBHSampler.R .  Full BayesPiecewiseICAR package functions and examples
Downloads during the last 30 days

Today's Hot Picks in Authors and Packages

nextGenShinyApps  
Craft Exceptional 'R Shiny' Applications and Dashboards with Novel Responsive Tools
Nove responsive tools for designing and developing 'Shiny' dashboards and applications. The scripts ...
Download / Learn more Package Citations See dependency  
MixSIAR  
Bayesian Mixing Models in R
Creates and runs Bayesian mixing models to analyze biological tracer data (i.e. stable isotopes, fa ...
Download / Learn more Package Citations See dependency  
ODS  
Statistical Methods for Outcome-Dependent Sampling Designs
Outcome-dependent sampling (ODS) schemes are cost-effective ways to enhance study efficiency. In OD ...
Download / Learn more Package Citations See dependency  
gfcanalysis  
Tools for Working with Hansen et al. Global Forest Change Dataset
Supports analyses using the Global Forest Change dataset released by Hansen et al. gfcanalysis was ...
Download / Learn more Package Citations See dependency  
fitscape  
Classes for Fitness Landscapes and Seascapes
Convenient classes to model fitness landscapes and fitness seascapes. A low-level package with whic ...
Download / Learn more Package Citations See dependency  

27,889

R Packages

239,283

Dependencies

74,019

Author Associations

27,890

Publication Badges

© Copyright since 2022. All right reserved, rpkg.net.  Based in Cambridge, Massachusetts, USA