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  "Title": "Scale-Dependent Hyperpriors in Structured Additive\nDistributional Regression",
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  "Description": "Utility functions for scale-dependent and alternative\nhyperpriors. The distribution parameters may capture location,\nscale, shape, etc. and every parameter may depend on complex\nadditive terms (fixed, random, smooth, spatial, etc.) similar\nto a generalized additive model. Hyperpriors for all effects\ncan be elicitated within the package. Including complex tensor\nproduct interaction terms and variable selection priors. The\nbasic model is explained in in Klein and Kneib (2016)\n<doi:10.1214/15-BA983>.",
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