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# CITATION.cff file created with {cffr} R package
# See also: https://docs.ropensci.org/cffr/
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cff-version: 1.2.0
message: 'To cite package "sdPrior" in publications use:'
type: software
license: GPL-2.0-only
title: 'sdPrior: Scale-Dependent Hyperpriors in Structured Additive Distributional
  Regression'
version: 1.0.0.9001
doi: 10.32614/CRAN.package.sdPrior
abstract: Utility functions for scale-dependent and alternative hyperpriors. The distribution
  parameters may capture location, scale, shape, etc. and every parameter may depend
  on complex additive terms (fixed, random, smooth, spatial, etc.) similar to a generalized
  additive model. Hyperpriors for all effects can be elicitated within the package.
  Including complex tensor product interaction terms and variable selection priors.
  The basic model is explained in in Klein and Kneib (2016) <https://doi.org/10.1214/15-BA983>.
  Compatibility updates by Renova.
authors:
- family-names: Klein
  given-names: Nadja
  email: nadja.klein@hu-berlin.de
repository: https://renova-r.r-universe.dev
commit: 62dc743cb0a0ae0f1ca224d9633dcda496ffd694
date-released: '2026-11-13'
contact:
- family-names: Klein
  given-names: Nadja
  email: nadja.klein@hu-berlin.de