gammSlice: Generalized Additive Mixed Model Analysis via Slice Sampling

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

Documentation:

Reference manual:

gammSlice.html , gammSlice.pdf

Downloads:

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

Linking:

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