SpatReg_Perf

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 <code>lm</code> or <code>Sarlm</code> as defined in package <code>spatialreg</code>.
The function can be applied to the output of any SCSR model and contained in the <code>ClusterFitModels</code> output of <code>SCSR_Estim</code> function.

Contains functions for statistical data analysis based on spatially-clustered techniques.
The package allows estimating the spatially-clustered spatial regression models presented in Cerqueti, Maranzano \& Mattera (2024), "Spatially-clustered spatial autoregressive models
with application to agricultural market concentration in Europe", arXiv preprint 2407.15874 <doi:10.48550/arXiv.2407.15874>.
Specifically, the current release allows the estimation of the spatially-clustered linear regression model (SCLM), the spatially-clustered spatial autoregressive model (SCSAR),
the spatially-clustered spatial Durbin model (SCSEM), and the spatially-clustered linear regression model with spatially-lagged exogenous covariates (SCSLX).

Paolo Maranzano

SCDA

Spatially-Clustered Data Analysis

Raffaele Mattera

SpatReg_Perf function

<dl><dt>SRModel</dt>
<dd>Estimated spatial or non-spatial regression model of class <code>lm</code> or <code>Sarlm</code> (see package <code>spatialreg</code> for details.)</dd></dl>

Arguments

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. — SpatReg_Perf

<dl>

<dt>SRModel</dt>
<dd>Estimated spatial or non-spatial regression model of class <code>lm</code> or <code>Sarlm</code> (see package <code>spatialreg</code> for details.)</dd>

</dl>

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 <code>lm</code> or <code>Sarlm</code>.

SpatReg_Perf: 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

Usage

Value

Arguments

Examples