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# CITATION.cff file created with {cffr} R package
# See also: https://docs.ropensci.org/cffr/
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cff-version: 1.2.0
message: 'To cite package "POEMED" in publications use:'
type: software
license: GPL-3.0-or-later
title: 'POEMED: Power Enhancement for High-Dimensional Mediation Analysis'
version: 1.0.0
abstract: Provides powerful global tests for high-dimensional mediation analysis with
  heterogeneous (and even contrasting) mediation effects, for continuous, binary,
  and count outcomes. The power enhancement (PE) idea augments a Wald test on the
  total indirect effect with a component that captures marginal signals from individual
  mediators, so that active mediators are detected even when their individual indirect
  effects cancel and the total indirect effect is zero. The package also identifies
  which individual mediators are active with familywise error rate or false discovery
  rate control. The methods implement Yu and Kelley (in press), "Power Enhancement
  in High-Dimensional Heterogeneous Mediation Analysis" (Journal of the American Statistical
  Association); the package also simulates mediation data under the homogeneous, heterogeneous,
  and contrasting patterns that the article studies, ships its empirical health-expenditure
  data as a benchmark and reruns that empirical analysis, and runs the designs of
  its Monte Carlo size and power studies. The name, 'POEMED', from POwer-Enhanced
  MEDiation, encodes the method. Every estimation and testing function returns a tidy
  'data.frame' that prints with sensible rounding and composes with the broader R
  ecosystem.
authors:
- family-names: Yu
  given-names: Xiufan
  email: xiufan.yu@nd.edu
- family-names: Kelley
  given-names: Ken
  email: kkelley@nd.edu
  orcid: https://orcid.org/0000-0002-4756-8360
preferred-citation:
  type: article
  title: Power Enhancement in High-Dimensional Heterogeneous Mediation Analysis
  authors:
  - family-names: Yu
    given-names: Xiufan
    email: xiufan.yu@nd.edu
  - family-names: Kelley
    given-names: Ken
    email: kkelley@nd.edu
    orcid: https://orcid.org/0000-0002-4756-8360
  journal: Journal of the American Statistical Association
  year: '2026'
  notes: In press
repository: https://cran.r-universe.dev
repository-code: https://github.com/yelleKneK/POEMED
commit: 37469e8c90f06eeefcddde1974f3a6ce6e18e789
url: https://yelleknek.github.io/POEMED/
date-released: '2026-10-05'
contact:
- family-names: Kelley
  given-names: Ken
  email: kkelley@nd.edu
  orcid: https://orcid.org/0000-0002-4756-8360