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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
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>.
authors:
- family-names: Klein
  given-names: Nadja
  email: nadja.klein@hu-berlin.de
repository: https://cranhaven.r-universe.dev
commit: 91c8a29ae84c4fde683e912781e4a3e0f4178326
date-released: '2026-10-12'
contact:
- family-names: Klein
  given-names: Nadja
  email: nadja.klein@hu-berlin.de