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OBASpatial (version 1.9)

Objective Bayesian Analysis for Spatial Regression Models

Description

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) .

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Version

Install

install.packages('OBASpatial')

Monthly Downloads

133

Version

1.9

License

GPL (>= 2)

Maintainer

Alejandro Ordonez

Last Published

September 11th, 2022

Functions in OBASpatial (1.9)

dnsrprioroba

Objective prior density for the NSR model
intmnorm

Marginal posterior density for a model.
nsroba

Bayesian estimation for the NSR model.
summary.tsroba

Summary of a nsroba object
summary.nsroba

Summary of a nsroba object
tsroba

Bayesian estimation for the TSR model.
tsrobapred

Prediction under Student-t Objective Bayesian Analysis (OBA).
dtsrposoba

Objective posterior density for the TSR model
intmT

Marginal posterior density for a model.
dnsrposoba

Objective posterior density for the NSR model
dataelev

Surface elevations
dtsrprioroba

Objective prior density for the TSR model
dataca20

Calcium Content In Soil Samples.
nsrobapred1

Prediction under Normal Objective Bayesian Analysis (OBA).