This package provides a variety of functions to analyze and model geostatistical count data with generalized linear spatial models, including 1) simulate and visualize the data; 2) posterior sampling with robust MCMC algorithms (in serial or parallel way); 3) perform prediction for unsampled locations; 4) conduct Bayesian model checking procedure to evaluate the goodness of fitting; 5) conduct transformed residual checking procedure. In the package, seamlessly embedded C++ programs and parallel computing techniques are implemented to speed up the computing processes.
Version: | 1.131209 |
Depends: | R (≥ 2.12.0), Rcpp (≥ 0.9.4), RcppArmadillo (≥ 0.2.19) |
LinkingTo: | Rcpp, RcppArmadillo |
Suggests: | coda, distrEx, reldist, snow, snowfall |
Published: | 2013-12-09 |
Author: | Liang Jing |
Maintainer: | Liang Jing <ljing918 at gmail.com> |
License: | GPL-2 | GPL-3 [expanded from: GPL (≥ 2)] |
NeedsCompilation: | yes |
CRAN checks: | geoCount results |
Reference manual: | geoCount.pdf |
Package source: | geoCount_1.131209.tar.gz |
Windows binaries: | r-devel: geoCount_1.131209.zip, r-release: geoCount_1.131209.zip, r-oldrel: geoCount_1.131209.zip |
OS X Snow Leopard binaries: | r-release: geoCount_1.131209.tgz, r-oldrel: geoCount_1.131209.tgz |
OS X Mavericks binaries: | r-release: not available |