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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

Install

install.packages('ProbitSpatial')

Monthly Downloads

206

Version

1.1

License

GPL (>= 2)

Maintainer

Davide Martinetti

Last Published

June 30th, 2021

Functions in ProbitSpatial (1.1)

$,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.