# --------------------------------------------
# CITATION file created with {cffr} R package
# See also: https://docs.ropensci.org/cffr/
# --------------------------------------------
 
cff-version: 1.2.0
message: 'To cite package "CIMPLE" in publications use:'
type: software
license: GPL-3.0-or-later
title: 'CIMPLE: Analysis of Longitudinal Electronic Health Record (EHR) Data with
  Possibly Informative Observational Time'
version: 0.1.0
doi: 10.32614/CRAN.package.CIMPLE
abstract: Analyzes longitudinal Electronic Health Record (EHR) data with possibly
  informative observational time. These methods are grouped into two classes depending
  on the inferential task. One group focuses on estimating the effect of an exposure
  on a longitudinal biomarker while the other group assesses the impact of a longitudinal
  biomarker on time-to-diagnosis outcomes. The accompanying paper is Du et al (2024)
  <https://doi.org/10.48550/arXiv.2410.13113>.
authors:
- family-names: Du
  given-names: Jiacong
  email: jiacong@umich.edu
  orcid: https://orcid.org/0000-0002-7768-9083
- family-names: Baik
  given-names: Howard
  email: howard.baik@yale.edu
  orcid: https://orcid.org/0009-0000-8942-1618
repository: https://CRAN.R-project.org/package=CIMPLE
date-released: '2024-11-12'
contact:
- family-names: Baik
  given-names: Howard
  email: howard.baik@yale.edu
  orcid: https://orcid.org/0009-0000-8942-1618