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SpatGC

Bayesian Modeling of Spatial Count Data

v0.1.0 · Apr 25, 2024 · GPL (>= 2)

Description

Provides a collection of functions for preparing data and fitting Bayesian count spatial regression models, with a specific focus on the Gamma-Count (GC) model. The GC model is well-suited for modeling dispersed count data, including under-dispersed or over-dispersed counts, or counts with equivalent dispersion, using Integrated Nested Laplace Approximations (INLA). The package includes functions for generating data from the GC model, as well as spatially correlated versions of the model. See Nadifar, Baghishani, Fallah (2023) <doi:10.1007/s13253-023-00550-5>.

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package dependencies

Package suggested but not available for checking: ‘INLA’
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NOTE 12 OK · 2 NOTE · 0 WARNING · 0 ERROR · 0 FAILURE Mar 9, 2026
NOTE r-oldrel-macos-arm64

package dependencies

Package suggested but not available for checking: ‘INLA’
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package dependencies

Package suggested but not available for checking: ‘INLA’

Dependency Network

Dependencies Reverse dependencies mvtnorm spdep sf SpatGC

Version History

new 0.1.0 Mar 9, 2026