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SpatGC  

Bayesian Modeling of Spatial Count Data
View on CRAN: Click here


Download and install SpatGC package within the R console
Install from CRAN:
install.packages("SpatGC")

Install from Github:
library("remotes")
install_github("cran/SpatGC")

Install by package version:
library("remotes")
install_version("SpatGC", "0.1.0")



Attach the package and use:
library("SpatGC")
Maintained by
Mahsa Nadifar
[Scholar Profile | Author Map]
All associated links for this package
First Published: 2024-04-25
Latest Update: 2024-04-25
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>.
How to cite:
Mahsa Nadifar (2024). SpatGC: Bayesian Modeling of Spatial Count Data. R package version 0.1.0, https://cran.r-project.org/web/packages/SpatGC. Accessed 23 Nov. 2024.
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