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  "Title": "Projection Predictive Feature Selection",
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  "Description": "Performs projection predictive feature selection for\ngeneralized linear models (Piironen, Paasiniemi, and Vehtari,\n2020, <doi:10.1214/20-EJS1711>) with or without multilevel or\nadditive terms (Catalina, Bürkner, and Vehtari, 2022,\n<https://proceedings.mlr.press/v151/catalina22a.html>), for\nsome ordinal and nominal regression models (Weber, Glass, and\nVehtari, 2025, <doi:10.1007/s00180-024-01506-0>), and for many\nother regression models (using the latent projection by\nCatalina, Bürkner, and Vehtari, 2021,\n<doi:10.48550/arXiv.2109.04702>, which can also be applied to\nmost of the former models). The package is compatible with the\n'rstanarm' and 'brms' packages, but other reference models can\nalso be used. See the vignettes and the documentation for more\ninformation and examples.",
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        "projpred"
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        "cv_varsel.refmodel",
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