Generalized Additive Mixed Model Analysis via Slice Sampling
Overview
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.
Install
Health
- OK13 OK2026-08-05
- NOTE12 OK, 1 NOTE2026-08-01
- OK14 OK2026-03-10
Documentation
- Help pages
- 6
- Examples that run
- 67%4 run in a plain check · 2 never run
- Exported functions with examples
- 100%
- Documented parameters
- 100%
- Return-value docs
- 25%
- Help pages citing references
- 100%
Downloads
Dependencies
Installing gammSlice adds no packages beyond those that come with R.
Code & Tests
Datasets
People & History
Previously maintained by Tung Pham (1.2-5 to 1.3).
Pick two releases to compare their code metrics.
- RR 4.6.0 released · 2026-04-24
- RR 4.5.0 released · 2025-04-11
- RR 4.4.0 released · 2024-04-24
- RR 4.3.0 released · 2023-04-21
- RR 4.2.0 released · 2022-04-22
- RR 4.1.0 released · 2021-05-18
- RR 4.0.0 released · 2020-04-24
- RR 3.6.0 released · 2019-04-26
- 2.0-2Latest
- unarchivedReturned to CRAN2018-05-21
- 2.0-1
- RR 3.5.0 released · 2018-04-23
- archivedRemoved from CRAN2018-01-26warnings were not corrected despite reminders
- RR 3.4.0 released · 2017-04-21
- RR 3.3.0 released · 2016-05-03
- RR 3.2.0 released · 2015-04-16
Package metadata
- First published
- 2012-04-04
- Total releases
- 5 / 14 yrs
- License
- GPL (>= 2) OSI
- Bundled data
- 14 KB / 2 files
- Download size
- 37 KB
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