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# CITATION file created with {cffr} R package
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cff-version: 1.2.0
message: 'To cite package "psme" in publications use:'
type: software
license: GPL-3.0-only
title: 'psme: Penalized Splines Mixed-Effects Models'
version: 1.0.0
doi: 10.32614/CRAN.package.psme
abstract: Fit penalized splines mixed-effects models (a special case of additive models)
  for large longitudinal datasets. The package includes a psme() function that (1)
  relies on package 'mgcv' for constructing population and subject smooth functions
  as penalized splines, (2) transforms the constructed additive model to a linear
  mixed-effects model, (3) exploits package 'lme4' for model estimation and (4) backtransforms
  the estimated linear mixed-effects model to the additive model for interpretation
  and visualizaiton. See Pedersen et al. (2019) <https://doi.org/10.7717/peerj.6876>
  and Bates et al. (2015) <https://doi.org/10.18637/jss.v067.i01> for an introduction.
  Unlike the gamm() function in 'mgcv', the psme() function is fast and memory-efficient,
  able to handle datasets with millions of observations.
authors:
- family-names: Li
  given-names: Zheyuan
  email: zheyuan.li@bath.edu
  orcid: https://orcid.org/0000-0002-7434-5947
repository: https://zheyuanli.r-universe.dev
repository-code: https://github.com/ZheyuanLi/psme
commit: 583b42a23ce547d0b7ea6d068331b0e151d6e5e2
url: https://github.com/ZheyuanLi/psme
date-released: '2025-10-06'
contact:
- family-names: Li
  given-names: Zheyuan
  email: zheyuan.li@bath.edu
  orcid: https://orcid.org/0000-0002-7434-5947