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# CITATION 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 "SRMERS" in publications use:'
type: software
license: GPL-3.0-only
title: 'SRMERS: Semi-Parametric Shape-Restricted Fixed/Mixed Effect(s) Regression
  Spline'
version: 0.1.1
doi: 10.32614/CRAN.package.SRMERS
abstract: Select the most suitable shape to describe the relationship between the
  exposure and the outcome among increasing, decreasing, convex, and concave shapes
  (Yin et al. (2021) <DOI:10.1007/s13571-020-00246-7>); estimate the direct and indirect
  effects with prior knowledge on the relationship between the mediator and the outcome
  with binary exposure (Yin et al. (2024) <DOI:10.1007/s13571-024-00336-w>); estimate
  the direct and indirect effects using linear regression-based approach (VanderWeele
  (2015, ISBN:9780199325870)).
authors:
- family-names: Yin
  given-names: Qing
  email: qiy25@pitt.edu
- family-names: Peddada
  given-names: Shyamal Das
- family-names: Adibi
  given-names: Jennifer Joan
- family-names: Jeong
  given-names: Jong-Hyeon
repository: https://qy2166.r-universe.dev
commit: 5dfa3a8788ba27917788c4f166279605bb198694
date-released: '2026-01-13'
contact:
- family-names: Yin
  given-names: Qing
  email: qiy25@pitt.edu