Package: OBASpatial 1.9
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>.
Authors:
OBASpatial_1.9.tar.gz
OBASpatial_1.9.zip(r-4.5)OBASpatial_1.9.zip(r-4.4)OBASpatial_1.9.zip(r-4.3)
OBASpatial_1.9.tgz(r-4.4-any)OBASpatial_1.9.tgz(r-4.3-any)
OBASpatial_1.9.tar.gz(r-4.5-noble)OBASpatial_1.9.tar.gz(r-4.4-noble)
OBASpatial_1.9.tgz(r-4.4-emscripten)OBASpatial_1.9.tgz(r-4.3-emscripten)
OBASpatial.pdf |OBASpatial.html✨
OBASpatial/json (API)
| # Install 'OBASpatial' in R: |
| install.packages('OBASpatial', repos = c('https://joalor93.r-universe.dev', 'https://cloud.r-project.org')) |
This package does not link to any Github/Gitlab/R-forge repository. No issue tracker or development information is available.
Last updated 2 years agofrom:377a550dc7. Checks:OK: 7. Indexed: yes.
| Target | Result | Date |
|---|---|---|
| Doc / Vignettes | OK | Nov 08 2024 |
| R-4.5-win | OK | Nov 08 2024 |
| R-4.5-linux | OK | Nov 08 2024 |
| R-4.4-win | OK | Nov 08 2024 |
| R-4.4-mac | OK | Nov 08 2024 |
| R-4.3-win | OK | Nov 08 2024 |
| R-4.3-mac | OK | Nov 08 2024 |
Exports:dnsrposobadnsrpriorobadtsrposobadtsrpriorobaintmnormintmTnsrobansrobapred1tsrobatsrobapred
Dependencies:clueclustercubatureevdfBasicsgssHDIntervalinvgammaLaplacesDemonMASSmodeestmvtnormRcpprmutilrpartspatialstablestablediststatiptimeDatetimeSeriestruncdist
Readme and manuals
Help Manual
| Help page | Topics |
|---|---|
| Calcium Content In Soil Samples. | dataca20 |
| Surface elevations | dataelev |
| Objective posterior density for the NSR model | dnsrposoba |
| Objective prior density for the NSR model | dnsrprioroba |
| Objective posterior density for the TSR model | dtsrposoba |
| Objective prior density for the TSR model | dtsrprioroba |
| Marginal posterior density for a model. | intmnorm |
| Marginal posterior density for a model. | intmT |
| Bayesian estimation for the NSR model. | nsroba |
| Prediction under Normal Objective Bayesian Analysis (OBA). | nsrobapred1 |
| Summary of a nsroba object | summary.nsroba |
| Summary of a nsroba object | summary.tsroba |
| Bayesian estimation for the TSR model. | tsroba |
| Prediction under Student-t Objective Bayesian Analysis (OBA). | tsrobapred |
