OBASpatial
1.9Objective Bayesian Analysis for Spatial Regression Models
Overview
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.
Install
Health
- NOTE r-devel-linux-x86_64-debian-clang
- NOTE r-devel-linux-x86_64-debian-gcc
- NOTE2026-03-1012 OK · 2 NOTE · 0 WARNING · 0 ERROR · 0 FAILURE
Documentation
- Examples that run
- 100%
- Documented parameters
- 99%
- Return-value docs
- 100%
- References docs
- 100%
Downloads
Dependencies
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Code & Tests
Datasets
People & History
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4 releases. Pick two to compare their code metrics. R releases are shown for context.
- RR 4.6.0 released · 2026-04-24
- RR 4.5.0 released · 2025-04-11
- RR 4.4.0 released · 2024-04-24
- RR 4.3.0 released · 2023-04-21
- 1.9Latest
- RR 4.2.0 released · 2022-04-22
- RR 4.1.0 released · 2021-05-18
- 1.82021-01-18 · diff ↗
- 1.72020-09-29 · diff ↗
- RR 4.0.0 released · 2020-04-24
- 1.12020-04-16
- RR 3.6.0 released · 2019-04-26
Package metadata
- First published
- 2020-04-16
- Total releases
- 4 / 6 yrs
- License
- GPL (>= 2) OSI
- Minimum R
- ≥ 3.6.0
- Bundled data
- 2.5 KB / 2 files
- Download size
- 25 KB
- Installed size
- not tracked yet
- With dependencies
- not tracked yet
Cite
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