SpatialRegimes: Spatial Constrained Clusterwise Regression

A collection of functions for estimating spatial regimes, aggregations of neighboring spatial units that are homogeneous in functional terms. The term spatial regime, therefore, should not be understood as a synonym for cluster. More precisely, the term cluster does not presuppose any functional relationship between the variables considered, while the term regime is linked to a regressive relationship underlying the spatial process. For more information, please see Postiglione, P., Andreano, M.S., Benedetti R. (2013) <doi:10.1007/s10614-012-9325-z> , Andreano, M.S., Benedetti, R., and Postiglione, P. (2017) <doi:10.1007/s11135-016-0415-1> , Bille', A.G., Benedetti, R., and Postiglione, P. (2017) <doi:10.1080/17421772.2017.1286373>.

Version: 0.2
Depends: spdep, quantreg, GWmodel, plm
Suggests: R.rsp, utils
Published: 2020-11-24
Author: Francesco Vidoli, Roberto Benedetti
Maintainer: Francesco Vidoli <fvidoli at>
License: GPL-2 | GPL-3 [expanded from: GPL (≥ 2)]
NeedsCompilation: no
CRAN checks: SpatialRegimes results


Reference manual: SpatialRegimes.pdf
Vignettes: SpatialRegimes: Spatial constrained clusterwise regression
Package source: SpatialRegimes_0.2.tar.gz
Windows binaries: r-devel:, r-release:, r-oldrel:
macOS binaries: r-release: SpatialRegimes_0.2.tgz, r-oldrel: SpatialRegimes_0.2.tgz
Old sources: SpatialRegimes archive


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