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.
Supplementary materials are available in addition to this article. It can be downloaded at RJ-2017-050.zip
icenReg, foreach, doParallel, coda, Rcpp, RcppEigen
HighPerformanceComputing, NumericalMathematics, Bayesian, gR, Survival
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For attribution, please cite this work as
Anderson-Bergman, "Bayesian Regression Models for Interval-censored Data in R", The R Journal, 2017
BibTeX citation
@article{RJ-2017-050,
author = {Anderson-Bergman, Clifford},
title = {Bayesian Regression Models for Interval-censored Data in R},
journal = {The R Journal},
year = {2017},
note = {https://doi.org/10.32614/RJ-2017-050},
doi = {10.32614/RJ-2017-050},
volume = {9},
issue = {2},
issn = {2073-4859},
pages = {487-498}
}