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gammSlice (version 2.0-2)

Generalized Additive Mixed Model Analysis via Slice Sampling

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 .

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Version

Install

install.packages('gammSlice')

Monthly Downloads

157

Version

2.0-2

License

GPL (>= 2)

Maintainer

Matt Wand

Last Published

January 3rd, 2019

Functions in gammSlice (2.0-2)

plot.gSlc

Plot smooth function components of gSlc() fits
toenail

Toenail infection clinical trial
indonRespir

Eespiratory infection in Indonesian children
summary.gSlc

Summary of the generalized additive mixed model fit produced by gSlc
gSlc.control

Controlling generalized additive mixed model fitting via slice sampling
gSlc

Generalized additive mixed model analysis via slice sampling