Uses a slice sampling-based Markov chain Monte Carlo to
conduct Bayesian fitting and inference for generalized additive
mixed models (GAMM). Generalized linear mixed models and
generalized additive models are also handled as special cases
of GAMM.
| Version: |
1.3 |
| Depends: |
R (≥ 2.13), KernSmooth, lattice, mgcv |
| Published: |
2015-01-21 |
| Author: |
Tung Pham and Matt Wand |
| Maintainer: |
Tung Pham <pham.t at unimelb.edu.au> |
| License: |
GPL-2 | GPL-3 [expanded from: GPL (≥ 2)] |
| NeedsCompilation: |
yes |
| CRAN checks: |
gammSlice results |