geoBayes: Analysis of Geostatistical Data using Bayes and Empirical Bayes Methods

Functions to fit geostatistical data. The data can be continuous, binary or count data and the models implemented are flexible. Conjugate priors are assumed on some parameters while inference on the other parameters can be done through a full Bayesian analysis of by empirical Bayes methods.

AuthorEvangelos Evangelou <e.evangelou@maths.bath.ac.uk>, Vivekananda Roy <vroy@iastate.edu>
Date of publication2015-11-16 08:27:36
MaintainerEvangelos Evangelou <e.evangelou@maths.bath.ac.uk>
LicenseGPL (>= 2)
Version0.3.3

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Files

geoBayes
geoBayes/src
geoBayes/src/Makevars
geoBayes/src/msg.c
geoBayes/src/flogsumexp.f90
geoBayes/src/bmargin.f90
geoBayes/src/auxfcns.c
geoBayes/src/msgmc.f90
geoBayes/src/llik.f90
geoBayes/src/lbfgsbmod.f90
geoBayes/src/linkfcn.f90
geoBayes/src/pdfy.f90
geoBayes/src/interfaces.f90
geoBayes/src/bfsp.f90
geoBayes/src/calcb2.f90
geoBayes/src/pdfw.f90
geoBayes/src/mcspz0.f90
geoBayes/src/mcsp2.f90
geoBayes/src/covfun.f90
geoBayes/src/betaprior.f90
geoBayes/NAMESPACE
geoBayes/demo
geoBayes/demo/rhizoctonia2.R
geoBayes/demo/rhizoctonia1.R
geoBayes/demo/yield3.R
geoBayes/demo/rhizoctonia5.R
geoBayes/demo/rhizoctonia3.R
geoBayes/demo/00Index
geoBayes/demo/yield4.R
geoBayes/demo/yield2.R
geoBayes/NEWS
geoBayes/data
geoBayes/data/rhizoctonia.rda
geoBayes/R
geoBayes/R/geoesteb.R geoBayes/R/linkfcn.R geoBayes/R/mcsp2.R geoBayes/R/bfse.R geoBayes/R/rhizoctonia-data.R geoBayes/R/calcbf.R geoBayes/R/comparebinlinks.R geoBayes/R/bf.R geoBayes/R/geobayes-package.R geoBayes/R/util.R
geoBayes/MD5
geoBayes/DESCRIPTION
geoBayes/man
geoBayes/man/ebsglmm.Rd geoBayes/man/bf2new.Rd geoBayes/man/mcsglmm.Rd geoBayes/man/comparebinlinks.Rd geoBayes/man/mcstrga.Rd geoBayes/man/stackdata.Rd geoBayes/man/bf2optim.Rd geoBayes/man/ebstrga.Rd geoBayes/man/linkfcn.Rd geoBayes/man/mcmcmake.Rd geoBayes/man/plotbf2.Rd geoBayes/man/bf1skel.Rd geoBayes/man/mkpredgrid2d.Rd geoBayes/man/geoBayes.Rd geoBayes/man/rhizoctonia.Rd geoBayes/man/bfse.Rd
geoBayes/.Rinstignore

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

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

All documentation is copyright its authors; we didn't write any of that.