OBASpatial: Objective Bayesian Analysis for Spatial Regression Models (original) (raw)
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 |
| License: | GPL-2 | GPL-3 [expanded from: GPL (≥ 2)] |
| NeedsCompilation: | no |
| Materials: | |
| CRAN checks: | OBASpatial results |
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