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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 |
| Reference manual: | sdPrior.pdf |
| 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 suggests: | bamlss |
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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.