| prior {spBayes} | R Documentation |
The function prior creates a valid prior definition for use in ggt.sp.
prior(dist, ...)
dist |
a quoted key word that identifies the prior distribution. The
choices are inverse-gamma "IG", uniform "UNIF", half-Cauchy "HC", normal
"NORMAL", flat "FLAT", inverse-Wishart "IWISH",
and fixed scalar or matrix "FIXED". |
... |
the hyperparameters of the chosen prior distribution, passed as quoted key words with associated values. See details below. |
Up to a proportionality constant the possible priors are:
"a", and "b". "shape", and "scale". "a". "mu" and "precision". "df" and "S".
The normal and flat priors can only be used for the regressors specified in ggt.sp.
prior |
a list object of class ggt.prior which is used for the value portion of the prior tag in
the ggt.sp function. |
Andrew O. Finley afinley@stat.umn.edu,
Sudipto Banerjee sudiptob@biostat.umn.edu,
Bradley P. Carlin brad@biostat.umn.edu
Banerjee, S., Carlin, B.P., and Gelfand, A.E. (2004). Hierarchical modeling and analysis for spatial data. Chapman and Hall/CRC Press, Boca Raton, Fla.
Gelman, A. (2006). Prior distributions for variance parameters in hierarchical models 1(3):515-533, Bayesian Analysis.
Further information on the package spBayes can be found at: http://blue.fr.umn.edu/spatialBayes.