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) <doi:10.1214/15-BA983>.
Version: 1.0-0 Depends: R (≥ 3.1.0) Imports: splines, GB2, MASS, stats, pscl, mvtnorm, mgcv, graphics, doParallel, parallel Published: 2018-10-06 DOI: 10.32614/CRAN.package.sdPrior Author: Nadja Klein [aut, cre] Maintainer: Nadja Klein <nadja.klein at hu-berlin.de> License: GPL-2 NeedsCompilation: no CRAN checks: sdPrior results Documentation: Downloads: Reverse dependencies: Linking:Please use the canonical form https://CRAN.R-project.org/package=sdPrior to link to this page.
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