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SCDA  

Spatially-Clustered Data Analysis
View on CRAN: Click here


Download and install SCDA package within the R console
Install from CRAN:
install.packages("SCDA")

Install from Github:
library("remotes")
install_github("cran/SCDA")

Install by package version:
library("remotes")
install_version("SCDA", "0.0.2")



Attach the package and use:
library("SCDA")
Maintained by
Paolo Maranzano
[Scholar Profile | Author Map]
All associated links for this package
First Published: 2024-10-14
Latest Update: 2024-10-22
Description:
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).
How to cite:
Paolo Maranzano (2024). SCDA: Spatially-Clustered Data Analysis. R package version 0.0.2, https://cran.r-project.org/web/packages/SCDA. Accessed 07 Jun. 2026.
Previous versions and publish date:
0.0.1 (2024-10-14 14:20)
Other packages that cited SCDA R package
View SCDA citation profile
Other R packages that SCDA depends, imports, suggests or enhances
Complete documentation for SCDA
Functions, R codes and Examples using the SCDA R package
Full SCDA package functions and examples
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