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MBGapp  

Interactive 'shiny' Application for Model-Based Geostatistics
View on CRAN: Click here


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

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

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



Attach the package and use:
library("MBGapp")
Maintained by
Olatunji Johnson
[Scholar Profile | Author Map]
All associated links for this package
First Published: 2026-07-10
Latest Update: 2026-07-10
Description:
Provides an interactive 'shiny' application for teaching and applied analysis of geostatistical data. Users can explore spatial data, assess spatial correlation through the empirical variogram, fit model-based geostatistical models for continuous, prevalence and count outcomes, produce spatial predictions, and download reports. The methodology follows the model-based geostatistics framework of Diggle and Giorgi (2019, ISBN:9781138732353).
How to cite:
Olatunji Johnson (2026). MBGapp: Interactive 'shiny' Application for Model-Based Geostatistics. R package version 0.1.0, https://cran.r-project.org/web/packages/MBGapp. Accessed 24 Oct. 2026.
Previous versions and publish date:
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Complete documentation for MBGapp
Functions, R codes and Examples using the MBGapp R package
Full MBGapp package functions and examples
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