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BSPADATA (version 1.1.0)

Bayesian Proposal to Fit Spatial Econometric Models

Description

The purpose of this package is to fit the three Spatial Econometric Models proposed in Anselin (1988, ISBN:9024737354) in the homoscedastic and the heteroscedatic case. The fit is made through MCMC algorithms and observational working variables approach.

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Version

Install

install.packages('BSPADATA')

Monthly Downloads

205

Version

1.1.0

License

GPL (>= 2)

Maintainer

Jorge Sicacha-Parada

Last Published

February 16th, 2022

Functions in BSPADATA (1.1.0)

hom_general

Bayesian fitting of Spatial General Model with homoscedastic normal error term.
hetero_sem_int

Hello
hom_general_int

Hello
hom_sar_int

Hello
hetero_sar

Bayesian fitting of Spatial AutoRegressive (SAR) model with heteroscedastic normal error term.
hetero_general

Bayesian fitting of Spatial General Model with heteroscedastic normal error term.
hetero_general_int

Hello
hom_sar

Bayesian fitting of Spatial AutoRegressive (SAR) model with homoscedastic normal error term.
hom_sem_int

Hello
hom_sem

Bayesian fitting of Spatial Error Model (SEM) with homoscedastic normal error term.
hetero_sem

Bayesian fitting of Spatial Error Model (SEM) model with heteroscedastic normal error term.
hetero_sar_int

Hello