The hardware and bandwidth for this mirror is donated by dogado GmbH, the Webhosting and Full Service-Cloud Provider. Check out our Wordpress Tutorial.
If you wish to report a bug, or if you are interested in having us mirror your free-software or open-source project, please feel free to contact us at mirror[@]dogado.de.

sdPrior: Scale-Dependent Hyperpriors in Structured Additive Distributional Regression

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:

Reference manual: sdPrior.pdf

Downloads:

Package source: sdPrior_1.0-0.tar.gz
Windows binaries: r-devel: sdPrior_1.0-0.zip, r-release: sdPrior_1.0-0.zip, r-oldrel: sdPrior_1.0-0.zip
macOS binaries: r-release (arm64): sdPrior_1.0-0.tgz, r-oldrel (arm64): sdPrior_1.0-0.tgz, r-release (x86_64): sdPrior_1.0-0.tgz, r-oldrel (x86_64): sdPrior_1.0-0.tgz
Old sources: sdPrior archive

Reverse dependencies:

Reverse suggests: bamlss

Linking:

Please use the canonical form https://CRAN.R-project.org/package=sdPrior to link to this page.

These binaries (installable software) and packages are in development.
They may not be fully stable and should be used with caution. We make no claims about them.
Health stats visible at Monitor.