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: | 1.150120 |
Depends: | R (≥ 2.12.0) |
Imports: | Rcpp (≥ 0.9.4) |
LinkingTo: | Rcpp, RcppArmadillo |
Suggests: | coda, distr, distrEx, reldist, rlecuyer, snowfall |
Published: | 2015-01-27 |
Author: | Liang Jing |
Maintainer: | Liang Jing <ljing918 at gmail.com> |
License: | GPL-2 | GPL-3 [expanded from: GPL (≥ 2)] |
NeedsCompilation: | yes |
Citation: | geoCount citation info |
CRAN checks: | geoCount results |
Reference manual: | geoCount.pdf |
Package source: | geoCount_1.150120.tar.gz |
Windows binaries: | r-devel: geoCount_1.150120.zip, r-release: geoCount_1.150120.zip, r-oldrel: geoCount_1.150120.zip |
OS X El Capitan binaries: | r-release: geoCount_1.150120.tgz |
OS X Mavericks binaries: | r-oldrel: geoCount_1.150120.tgz |
Old sources: | geoCount archive |
Please use the canonical form https://CRAN.R-project.org/package=geoCount to link to this page.