SpatReg_Extract: Extracts numerical values for the estimated regression...

In SCDA: Spatially-Clustered Data Analysis

Extracts numerical values for the estimated regression parameters (i.e., spatial coefficients, regression coefficients, and residuals variance) for a given spatial regression model of class lm or Sarlm.

Description

Extracts the numerical values for the regression parameters (i.e., estimated spatial parameters, regression coefficients, and residuals variance) for a given spatial regression model of class lm or Sarlm as defined in package spatialreg. The function can be applied to the output of any SCSR model and contained in the ClusterFitModels output of SCSR_Estim function.

Usage

SpatReg_Extract(SRModel)

Arguments

SRModel

Estimated spatial or non-spatial regression model of class lm or Sarlm (see package spatialreg for details.)

Value

A named vector containing numerical values for the estimated spatial parameters (e.g., \rho in SAR or \lambda in SEM), regression coefficients, and residuals variance for the input model in SRModel.

Examples

data(Data_RC_PM_RM_JABES2024, package="SCDA")
SCSAR <- SCSR_Estim(Formula = "Gini_SO ~ GDPPC_PPS2020 + Share_AgroEmp",
                    Data_sf = Data2020, G=3, listW=listW, Type="SCSAR", Phi = 0.50)
SpatReg_Extract(SRModel = SCSAR$ClusterFitModels[[1]])
SpatReg_Extract(SRModel = SCSAR$ClusterFitModels[[2]])
SpatReg_Extract(SRModel = SCSAR$ClusterFitModels[[3]])

SCDA documentation built on Oct. 30, 2024, 9:06 a.m.