OBASpatial: Objective Bayesian Analysis for Spatial Regression Models

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) <doi:10.48550/arXiv.2004.04341>.

Version: 1.9
Depends: R (≥ 3.6.0)
Imports: stats, modeest, cubature, truncdist, invgamma, LaplacesDemon, HDInterval, mvtnorm
Published: 2022-09-11
DOI: 10.32614/CRAN.package.OBASpatial
Author: Alejandro Ordonez, Marcos O. Prates , Larissa A. Matos, Victor H. Lachos.
Maintainer: Alejandro Ordonez <ordonezjosealejandro at gmail.com>
License: GPL-2 | GPL-3 [expanded from: GPL (≥ 2)]
NeedsCompilation: no
Materials: ChangeLog
CRAN checks: OBASpatial results


Reference manual: OBASpatial.pdf


Package source: OBASpatial_1.9.tar.gz
Windows binaries: r-devel: OBASpatial_1.9.zip, r-release: OBASpatial_1.9.zip, r-oldrel: OBASpatial_1.9.zip
macOS binaries: r-release (arm64): OBASpatial_1.9.tgz, r-oldrel (arm64): OBASpatial_1.9.tgz, r-release (x86_64): OBASpatial_1.9.tgz, r-oldrel (x86_64): OBASpatial_1.9.tgz
Old sources: OBASpatial archive


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