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gammSlice

Generalized Additive Mixed Model Analysis via Slice Sampling

v2.0-2 · Jan 3, 2019 · GPL (>= 2)

Description

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>.

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OK 14 OK · 0 NOTE · 0 WARNING · 0 ERROR · 0 FAILURE Mar 9, 2026

Dependency Network

Dependencies Reverse dependencies KernSmooth lattice mgcv gammSlice

Version History

new 2.0-2 Mar 9, 2026