Nothing
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>.
Getting started
Browse package contents
Package details |
|
|---|---|
| Author | Tung H. Pham [aut], Matt P. Wand [aut, cre] |
| Maintainer | Matt P. Wand <matt.wand@uts.edu.au> |
| License | GPL (>= 2) |
| Version | 2.0-2 |
| Package repository | View on CRAN |
| Installation |
Install the latest version of this package by entering the following in R:
|
Try the gammSlice package in your browser
Any scripts or data that you put into this service are public.
