SCDA
Spatially-Clustered Data Analysis
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). From release 0.0.2, the library contains functions to estimate spatial clustering based on Adiajacent Matrix K-Means (AMKM) as described in Zhou, Liu \& Zhu (2019), "Weighted adjacent matrix for K-means clustering", Multimedia Tools and Applications, 78 (23) <doi:10.1007/s11042-019-08009-x>.
Versions across snapshots
| Version | Repository | File | Size |
|---|---|---|---|
0.0.2 |
rolling linux/jammy R-4.5 | SCDA_0.0.2.tar.gz |
936.0 KiB |
0.0.2 |
rolling linux/noble R-4.5 | SCDA_0.0.2.tar.gz |
936.0 KiB |
0.0.2 |
rolling source/ R- | SCDA_0.0.2.tar.gz |
337.5 KiB |
0.0.2 |
latest linux/jammy R-4.5 | SCDA_0.0.2.tar.gz |
936.0 KiB |
0.0.2 |
latest linux/noble R-4.5 | SCDA_0.0.2.tar.gz |
936.0 KiB |
0.0.2 |
latest source/ R- | SCDA_0.0.2.tar.gz |
337.5 KiB |
0.0.2 |
2026-04-26 source/ R- | SCDA_0.0.2.tar.gz |
337.5 KiB |
0.0.2 |
2026-04-23 source/ R- | SCDA_0.0.2.tar.gz |
337.5 KiB |
0.0.2 |
2026-04-09 windows/windows R-4.5 | SCDA_0.0.2.zip |
938.9 KiB |
0.0.2 |
2025-04-20 source/ R- | SCDA_0.0.2.tar.gz |
337.5 KiB |