SpatReg_Perf {SCDA} | R Documentation |
Computes a set of in-sample performance metrics (i.e., AIC, BIC, RMSE, Sigma, and Pseudo R^2
) for a given spatial regression model of class lm
or Sarlm
.
Description
Computes a set of in-sample performance metrics (i.e., AIC, BIC, RMSE, Sigma, and Pseudo R$^2$) 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_Perf(SRModel)
Arguments
SRModel |
Estimated spatial or non-spatial regression model of class |
Value
A named vector
containing numerical values for the estimated performance metrics (i.e., AIC, BIC, RMSE, Sigma, and Pseudo R^2
) 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_Perf(SRModel = SCSAR$ClusterFitModels[[1]])
SpatReg_Perf(SRModel = SCSAR$ClusterFitModels[[2]])
SpatReg_Perf(SRModel = SCSAR$ClusterFitModels[[3]])
[Package SCDA version 0.0.2 Index]