Package: sdPrior Title: Scale-Dependent Hyperpriors in Structured Additive Distributional Regression Version: 1.0-0 Authors@R: c(person(given = "Nadja", family = "Klein", role = c("aut", "cre"), email = "nadja.klein@hu-berlin.de")) Maintainer: Nadja Klein Description: 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) . Depends: R (>= 3.1.0) Imports: splines, GB2, MASS, stats, pscl, mvtnorm, mgcv, graphics, doParallel, parallel License: GPL-2 NeedsCompilation: no Packaged: 2026-10-12 23:17:33 UTC; root RoxygenNote: 6.0.1 Author: Nadja Klein [aut, cre] Config/pak/sysreqs: make pari-gp Repository: https://cranhaven.r-universe.dev Date/Publication: 2026-10-12 12:02:00 UTC RemoteUrl: https://github.com/cranhaven/cranhaven.r-universe.dev RemoteRef: package/sdPrior RemoteSha: 91c8a29ae84c4fde683e912781e4a3e0f4178326 RemoteSubdir: sdPrior