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.
|Author||Tung Pham and Matt Wand|
|Date of publication||2015-01-21 08:24:52|
|Maintainer||Tung Pham <[email protected]>|
|License||GPL (>= 2)|
|Package repository||View on CRAN|
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