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@example.com>|
|License||GPL (>= 2)|
gammSlice-internal: Internal 'gammSlice' functions
gSlc: Generalized additive mixed model analysis via slice sampling
gSlc.control: Modification of the 'gSlc' defaults
gSlcSim: Simulate data from a generalized additive mixed model
indonRespir: The Indonesian Children's Health Study data
plot.gSlc: Plot smooth function components of 'gSlc' fits
summary.gSlc: Summary of the generalized additive mixed model fit produced...
toenail: A toenail data set