# --------------------------------------------
# CITATION file created with {cffr} R package
# See also: https://docs.ropensci.org/cffr/
# --------------------------------------------
 
cff-version: 1.2.0
message: 'To cite package "unvs.med" in publications use:'
type: software
license: GPL-3.0-only
title: 'unvs.med: A Universal Approach for Causal Mediation Analysis'
version: 1.1.0
doi: 10.32614/CRAN.package.unvs.med
abstract: This program realizes a universal estimation approach that accommodates
  multi-category variables and effect scales, making up for the deficiencies of the
  existing approaches when dealing with non-binary exposures and complex models. The
  estimation via bootstrapping can simultaneously provide results of causal mediation
  on risk difference (RD), odds ratio (OR) and risk ratio (RR) scales with tests of
  the effects' difference. The estimation is also applicable to many other settings,
  e.g., moderated mediation, inconsistent covariates, panel data, etc. The high flexibility
  and compatibility make it possible to apply for any type of model, greatly meeting
  the needs of current empirical researches.
authors:
- family-names: Zhou
  given-names: Tianbao
  email: michaelzhou@buaa.edu.cn
- family-names: Li
  given-names: Xinghao
  email: lixinghao@bjfu.edu.cn
- family-names: Liu*
  given-names: Lin
  email: liulin@pku.edu.cn
repository: https://michaelzhou2000.r-universe.dev
commit: a761e05610afb9538f1b9a311e20fb7c1b582b1d
date-released: '2026-01-27'
contact:
- family-names: Zhou
  given-names: Tianbao
  email: michaelzhou@buaa.edu.cn