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ngspatial: Fitting the Centered Autologistic and Sparse Spatial Generalized Linear Mixed Models for Areal Data

Provides tools for analyzing spatial data, especially non- Gaussian areal data. The current version supports the sparse restricted spatial regression model of Hughes and Haran (2013) <doi:10.1111/j.1467-9868.2012.01041.x>, the centered autologistic model of Caragea and Kaiser (2009) <doi:10.1198/jabes.2009.07032>, and the Bayesian spatial filtering model of Hughes (2017) <doi:10.48550/arXiv.1706.04651>.

Version: 1.2-2
Depends: Rcpp, batchmeans
LinkingTo: Rcpp, RcppArmadillo
Suggests: parallel, pbapply
Published: 2020-05-08
DOI: 10.32614/CRAN.package.ngspatial
Author: John Hughes and Xiaohui Cui
Maintainer: John Hughes <drjphughesjr at gmail.com>
License: GPL-2 | GPL-3 [expanded from: GPL (≥ 2)]
NeedsCompilation: yes
Citation: ngspatial citation info
In views: Spatial
CRAN checks: ngspatial results

Documentation:

Reference manual: ngspatial.pdf

Downloads:

Package source: ngspatial_1.2-2.tar.gz
Windows binaries: r-devel: ngspatial_1.2-2.zip, r-release: ngspatial_1.2-2.zip, r-oldrel: ngspatial_1.2-2.zip
macOS binaries: r-release (arm64): ngspatial_1.2-2.tgz, r-oldrel (arm64): ngspatial_1.2-2.tgz, r-release (x86_64): ngspatial_1.2-2.tgz, r-oldrel (x86_64): ngspatial_1.2-2.tgz
Old sources: ngspatial archive

Reverse dependencies:

Reverse imports: GDILM.ME
Reverse suggests: sand

Linking:

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These binaries (installable software) and packages are in development.
They may not be fully stable and should be used with caution. We make no claims about them.