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SpatialRegimes  

Spatial Constrained Clusterwise Regression
View on CRAN: Click here


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

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

Install by package version:
library("remotes")
install_version("SpatialRegimes", "1.1")



Attach the package and use:
library("SpatialRegimes")
Maintained by
Francesco Vidoli
[Scholar Profile | Author Map]
First Published: 2020-11-11
Latest Update: 2022-09-30
Description:
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.
How to cite:
Francesco Vidoli (2020). SpatialRegimes: Spatial Constrained Clusterwise Regression. R package version 1.1, https://cran.r-project.org/web/packages/SpatialRegimes. Accessed 29 Mar. 2025.
Previous versions and publish date:
0.1 (2020-11-11 11:00), 0.2 (2020-11-24 16:40), 1.0 (2022-04-02 11:40)
Other packages that cited SpatialRegimes R package
View SpatialRegimes citation profile
Other R packages that SpatialRegimes depends, imports, suggests or enhances
Complete documentation for SpatialRegimes
Functions, R codes and Examples using the SpatialRegimes R package
Some associated functions: Awsreg . Sareg . SimData . SkaterF . 
Some associated R codes: Awsreg.R . SkaterF.R . prunecostf.R . sswf.R .  Full SpatialRegimes package functions and examples
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