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spatialprobit (version 1.0)
Spatial Probit Models
Description
Bayesian Estimation of Spatial Probit and Tobit Models.
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Install
install.packages('spatialprobit')
Monthly Downloads
716
Version
1.0
License
GPL (>= 2)
Maintainer
Stefan Wilhelm
Last Published
January 15th, 2022
Functions in spatialprobit (1.0)
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marginal.effects
Marginal effects for spatial probit and Tobit models (SAR probit, SAR Tobit)
kNearestNeighbors
Build Spatial Weight Matrix from k Nearest Neighbors
fitted
Fitted values of spatial probit/Tobit models
LeSagePaceExperiment
Replicate the LeSage and Pace (2009), section 10.1.5 experiment
Katrina
New Orleans business recovery in the aftermath of Hurricane Katrina
c.sarprobit
Combine different SAR probit estimates into one
logLik
Log Likelihood for spatial probit models (SAR probit, SEM probit)
coef.sarprobit
Extract Model Coefficients
plot.sarprobit
Plot Diagnostics for
sarprobit
,
semprobit
or
sartobit
objects
CKM
Coleman, Katz, Menzel "Innovation among Physicians" dataset
sartobit
Bayesian estimation of the SAR Tobit model
semprobit
Bayesian estimation of the SEM probit model
sar_eigs
compute the eigenvalues for the spatial weight matrix W
sar_lndet
Approximation of the log determinant \(\ln{|I_n - \rho W|}\) of a spatial weight matrix
summary
Print the results of the spatial probit/Tobit estimation via MCMC
sarprobit
Bayesian estimation of the SAR probit model
sarorderedprobit
Bayesian estimation of the SAR ordered probit model