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  "Package": "rpql",
  "Title": "Regularized PQL for Joint Selection in GLMMs",
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  "Description": "Performs joint selection in Generalized Linear Mixed\nModels (GLMMs) using penalized likelihood methods.\nSpecifically, the Penalized Quasi-Likelihood (PQL) is used as a\nloss function, and penalties are then augmented to perform\nsimultaneous fixed and random effects selection. Regularized\nPQL avoids the need for integration (or approximations such as\nthe Laplace's method) during the estimation process, and so the\nfull solution path for model selection can be constructed\nrelatively quickly.",
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  "Author": "Francis K.C. Hui [aut, cre]",
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        "rpql-package"
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