We present the frailtyHL package for fitting semi-parametric frailty models using h likelihood. This package allows lognormal or gamma frailties for random-effect distribution, and it fits shared or multilevel frailty models for correlated survival data. Functions are provided to format and summarize the frailtyHL results. The estimates of fixed effects and frailty parameters and their standard errors are calculated. We illustrate the use of our package with three well-known data sets and compare our results with various alternative R-procedures.
frailtyHL, survival, coxme, phmm, frailtypack, hglm, HGLMMM, dhglm
Survival, ClinicalTrials, Econometrics, SocialSciences
Text and figures are licensed under Creative Commons Attribution CC BY 4.0. The figures that have been reused from other sources don't fall under this license and can be recognized by a note in their caption: "Figure from ...".
For attribution, please cite this work as
Ha, et al., "The R Journal: frailtyHL: A Package for Fitting Frailty Models with H-likelihood", The R Journal, 2012
BibTeX citation
@article{RJ-2012-010,
author = {Ha, Il Do and Noh, Maengseok and Lee, Youngjo},
title = {The R Journal: frailtyHL: A Package for Fitting Frailty Models with H-likelihood},
journal = {The R Journal},
year = {2012},
note = {https://doi.org/10.32614/RJ-2012-010},
doi = {10.32614/RJ-2012-010},
volume = {4},
issue = {2},
issn = {2073-4859},
pages = {28-37}
}