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) <arXiv:2004.04341>.
| Version: |
1.8 |
| Depends: |
R (≥ 3.6.0) |
| Imports: |
stats, modeest, cubature, truncdist, invgamma, LaplacesDemon, HDInterval, mvtnorm |
| Published: |
2021-01-18 |
| 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 |
| CRAN checks: |
OBASpatial results |
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