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ProbitSpatial (version 1.1)
Probit with Spatial Dependence, SAR, SEM and SARAR Models
Description
Fast estimation of binomial spatial probit regression models with spatial autocorrelation for big datasets.
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Version
Version
1.1
1.0
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Install
install.packages('ProbitSpatial')
Monthly Downloads
239
Version
1.1
License
GPL (>= 2)
Maintainer
Davide Martinetti
Last Published
June 30th, 2021
Functions in ProbitSpatial (1.1)
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$,ProbitSpatial-method
Extract from ProbitSpatial class.
conditional_SAR_UC
Conditional SAR UC.
coef.ProbitSpatial
Estimated coefficients of a spatial probit model.
names.ProbitSpatial
Extract names of ProbitSpatial class.
generate_W
Generate a random spatial weight matrix.
Katrina
New Orleans business recovery in the aftermath of Hurricane Katrina.
ProbitSpatial-class
Class of Spatial Probit Model.
conditional_SARAR_UP
Conditional SARAR UP.
predict.ProbitSpatial
Spatial probit model predictions.
ProbitSpatialFit
Fit a spatial probit model.
ProbitSpatial-package
Probit with Spatial Dependence, SAR, SEM, and SARAR Models.
conditional_SAR_UP
Conditional SAR UP.
residuals.ProbitSpatial
Extract spatial probit model residuals.
conditional_SEM_UP
Conditional SEM UP.
conditional_SEM_UC
Conditional SEM UC.
effects_ProbitSpatial
Effects of a spatial probit model.
fitted.ProbitSpatial
Extract spatial probit model fitted values.
sim_binomial_probit
Simulate the dependent variable of a SAR/SEM/SARAR model.
summary.ProbitSpatial
Spatial probit model summaries.
conditional_SARAR_UC
Conditional SARAR UC.