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Uses a slice sampling-based Markov chain Monte Carlo to conduct Bayesian fitting and inference for generalized additive mixed models. Generalized linear mixed models and generalized additive models are also handled as special cases of generalized additive mixed models. The methodology and software is described in Pham, T.H. and Wand, M.P. (2018). Australian and New Zealand Journal of Statistics, 60, 279-330 <doi:10.1111/ANZS.12241>.
| Version: | 2.0-2 |
| Depends: | KernSmooth, lattice, mgcv |
| Published: | 2019-01-03 |
| DOI: | 10.32614/CRAN.package.gammSlice |
| Author: | Tung H. Pham [aut], Matt P. Wand [aut, cre] |
| Maintainer: | Matt P. Wand <matt.wand at uts.edu.au> |
| License: | GPL-2 | GPL-3 [expanded from: GPL (≥ 2)] |
| NeedsCompilation: | yes |
| CRAN checks: | gammSlice results |
| Reference manual: | gammSlice.pdf |
| Package source: | gammSlice_2.0-2.tar.gz |
| Windows binaries: | r-devel: gammSlice_2.0-2.zip, r-release: gammSlice_2.0-2.zip, r-oldrel: gammSlice_2.0-2.zip |
| macOS binaries: | r-release (arm64): gammSlice_2.0-2.tgz, r-oldrel (arm64): gammSlice_2.0-2.tgz, r-release (x86_64): gammSlice_2.0-2.tgz, r-oldrel (x86_64): gammSlice_2.0-2.tgz |
| Old sources: | gammSlice archive |
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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.