gammSlice: Generalized additive mixed model analysis via slice sampling

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.

Install the latest version of this package by entering the following in R:
install.packages("gammSlice")
AuthorTung Pham and Matt Wand
Date of publication2015-01-21 08:24:52
MaintainerTung Pham <pham.t@unimelb.edu.au>
LicenseGPL (>= 2)
Version1.3

View on CRAN

Files

src
src/Makevars
src/slbsp.f
src/gammSlice.f
src/logfpsrd.f
src/frunif_helper.c
src/logfbird.f
src/slbsprd.f
src/frgamma_helper.c
src/slpsprd.f
src/logfbi.f
src/frgamma.f
src/logfps.f
src/slpsp.f
NAMESPACE
data
data/toenail.txt.gz
data/indonRespir.txt.gz
R
R/gSlc.control.R R/gSlcSim.R R/summary.gSlc.R R/interpret.gSlc.R R/gSlc.R R/gSlcMCMC.R R/summMCMC.R R/plot.gSlc.R R/gammSlice-internal.R
MD5
DESCRIPTION
man
man/plot.gSlc.Rd man/indonRespir.Rd man/gSlc.control.Rd man/gSlc.Rd man/gammSlice-internal.Rd man/toenail.Rd man/gSlcSim.Rd man/summary.gSlc.Rd

Questions? Problems? Suggestions? or email at ian@mutexlabs.com.

Please suggest features or report bugs with the GitHub issue tracker.

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