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  "Date": "2025-10-06",
  "Title": "Penalized Splines Mixed-Effects Models",
  "Authors@R": "person(\"Zheyuan\", \"Li\", role = c(\"aut\", \"cre\"),\nemail = \"zheyuan.li@bath.edu\",\ncomment = c(ORCID = \"0000-0002-7434-5947\"))",
  "Maintainer": "Zheyuan Li <zheyuan.li@bath.edu>",
  "Description": "Fit penalized splines mixed-effects models (a special case\nof additive models) for large longitudinal datasets. The\npackage includes a psme() function that (1) relies on package\n'mgcv' for constructing population and subject smooth functions\nas penalized splines, (2) transforms the constructed additive\nmodel to a linear mixed-effects model, (3) exploits package\n'lme4' for model estimation and (4) backtransforms the\nestimated linear mixed-effects model to the additive model for\ninterpretation and visualizaiton. See Pedersen et al. (2019)\n<doi:10.7717/peerj.6876> and Bates et al. (2015)\n<doi:10.18637/jss.v067.i01> for an introduction. Unlike the\ngamm() function in 'mgcv', the psme() function is fast and\nmemory-efficient, able to handle datasets with millions of\nobservations.",
  "License": "GPL-3",
  "NeedsCompilation": "no",
  "URL": "https://github.com/ZheyuanLi/psme",
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  "Repository": "https://zheyuanli.r-universe.dev",
  "Date/Publication": "2025-10-07 10:19:50 UTC",
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    "User": "root"
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  "Author": "Zheyuan Li [aut, cre] (ORCID: <https://orcid.org/0000-0002-7434-5947>)",
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