The R Journal: article published in 2017, volume 9:2

Bayesian Regression Models for Interval-censored Data in R
Clifford Anderson-Bergman , The R Journal (2017) 9:2, pages 487-498.

Abstract The package icenReg provides classic survival regression models for interval-censored data. We present an update to the package that extends the parametric models into the Bayesian framework. Core additions include functionality to define the regression model with the standard regression syntax while providing a custom prior function. Several other utility functions are presented that allow for simplified examination of the posterior distribution.

Received: 2017-08-05; online 2017-10-24, supplementary material, (1.2 KiB)
CRAN packages: icenReg, foreach, doParallel, coda, Rcpp, RcppEigen
CRAN Task Views implied by cited CRAN packages: HighPerformanceComputing, NumericalMathematics, Bayesian, gR, Survival

This article and supplementary materials are licensed under a Creative Commons Attribution 4.0 International license.

@article{RJ-2017-050,
  author = {Clifford Anderson-Bergman},
  title = {{Bayesian Regression Models for Interval-censored Data in R}},
  year = {2017},
  journal = {{The R Journal}},
  doi = {10.32614/RJ-2017-050},
  url = {https://doi.org/10.32614/RJ-2017-050},
  pages = {487--498},
  volume = {9},
  number = {2}
}