{
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  "Package": "grmsem",
  "Title": "Genetic-Relationship-Matrix Structural Equation Modelling\n(GRMSEM)",
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  "Description": "Quantitative genetics tool supporting the modelling of\nmultivariate genetic variance structures in quantitative data.\nIt allows fitting different models through multivariate\ngenetic-relationship-matrix (GRM) structural equation modelling\n(SEM) in unrelated individuals, using a maximum likelihood\napproach. Specifically, it combines genome-wide genotyping\ninformation, as captured by GRMs, with twin-research-based SEM\ntechniques, St Pourcain et al. (2017)\n<doi:10.1016/j.biopsych.2017.09.020>, Shapland et al. (2020)\n<doi:10.1101/2020.08.14.251199>.",
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  "BugReports": "https://gitlab.gwdg.de/beate.stpourcain/grmsem/-/issues",
  "Packaged": {
    "Date": "2026-09-23 07:22:28 UTC",
    "User": "root"
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  "Repository": "https://bstpourcain.r-universe.dev",
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