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OBASpatial  

Objective Bayesian Analysis for Spatial Regression Models
View on CRAN: Click here


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

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

Install by package version:
library("remotes")
install_version("OBASpatial", "1.9")



Attach the package and use:
library("OBASpatial")
Maintained by
Alejandro Ordonez
[Scholar Profile | Author Map]
First Published: 2020-04-16
Latest Update: 2022-09-11
Description:
It makes an objective Bayesian analysis of the spatial regression model using both the normal (NSR) and student-T (TSR) distributions. The functions provided give prior and posterior objective densities and allow default Bayesian estimation of the model regression parameters. Details can be found in Ordonez et al. (2020) .
How to cite:
Alejandro Ordonez (2020). OBASpatial: Objective Bayesian Analysis for Spatial Regression Models. R package version 1.9, https://cran.r-project.org/web/packages/OBASpatial. Accessed 03 Apr. 2025.
Previous versions and publish date:
1.1 (2020-04-16 12:20), 1.7 (2020-09-29 18:10), 1.8 (2021-01-18 18:40)
Other packages that cited OBASpatial R package
View OBASpatial citation profile
Other R packages that OBASpatial depends, imports, suggests or enhances
Complete documentation for OBASpatial
Functions, R codes and Examples using the OBASpatial R package
Some associated functions: dataca20 . dataelev . dnsrposoba . dnsrprioroba . dtsrposoba . dtsrprioroba . intmT . intmnorm . nsroba . nsrobapred . summary.nsroba . summary.tsroba . tsroba . tsrobapred . 
Some associated R codes: auxfunctionsnorm.R . auxfunctionst.R . prinfunctions.R .  Full OBASpatial package functions and examples
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