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cff-version: 1.2.0
message: 'To cite package "PJFM" in publications use:'
type: software
license: GPL-2.0-only
title: 'PJFM: Variational Inference for High-Dimensional Joint Frailty Model'
version: 0.1.0
doi: 10.32614/CRAN.package.PJFM
abstract: Joint frailty models have been widely used to study the associations between
  recurrent events and a survival outcome. However, existing joint frailty models
  only consider one or a few recurrent events and cannot deal with high-dimensional
  recurrent events. This package can be used to fit our recently developed penalized
  joint frailty model that can handle high-dimensional recurrent events. Specifically,
  an adaptive lasso penalty is imposed on the parameters for the effects of the recurrent
  events on the survival outcome, which allows for variable selection. Also, our algorithm
  is computationally efficient, which is based on the Gaussian variational approximation
  method.
authors:
- family-names: Sun
  given-names: Jiehuan
  email: jiehuan.sun@gmail.com
repository: https://CRAN.R-project.org/package=PJFM
date-released: '2024-11-06'
contact:
- family-names: Sun
  given-names: Jiehuan
  email: jiehuan.sun@gmail.com