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  "Title": "Simulation-Based Power Estimation (MSPE) for Nonlinear SEM",
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  "Authors@R": "person(given = \"Julien Patrick\", family = \"Irmer\",\nemail = \"jpirmer@gmail.com\", role = c(\"aut\", \"cre\", \"cph\"),\ncomment = c(ORCID = \"0000-0002-7544-6483\"))",
  "Author": "Julien Patrick Irmer [aut, cre, cph]\n(<https://orcid.org/0000-0002-7544-6483>)",
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  "Description": "Model-implied simulation-based power estimation (MSPE) for\nnonlinear (and linear) SEM, path analysis and regression\nanalysis. A theoretical framework is used to approximate the\nrelation between power and sample size for given type I error\nrates and effect sizes. The package offers an adaptive search\nalgorithm to find the optimal N for given effect sizes and type\nI error rates. Plots can be used to visualize the power\nrelation to N for different parameters of interest (POI).\nTheoretical justifications are given in Irmer et al. (2024a)\n<doi:10.31219/osf.io/pe5bj> and detailed description are given\nin Irmer et al. (2024b) <doi:10.3758/s13428-024-02476-3>.",
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    "message": "Small corrections to DESCRIPTION and update of citations.\n",
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