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.
Depends: spdep, quantreg, GWmodel, plm, spatialreg

Title: Robust Maximum Likelihood Estimation for Spatial Error Model
Authors@R: c(person("Vural","Yildirim", role=c("aut", "cre"), email="vurall_yildirim@hotmail.com", comment = c(ORCID = "0000-0002-6517-7849")),
person("Yeliz","Mert Kantar",role=c("aut", "ths"), comment = c(ORCID = "0000-0001-7101-8943")))
Description: Provides robust estimation for spatial error model to presence of outliers in the residuals. The classical estimation methods can be influenced by the presence of outliers in the data. We proposed a robust estimation approach based on the robustified likelihood equations for spatial error model (Vural Yildirim & Yeliz Mert Kantar (2020): Robust estimation approach for spatial error model, Journal of Statistical Computation and Simulation, <doi:10.1080/00949655.2020.1740223>).
Packaged: 2020-03-31 11:18:02 UTC; VURAL YILDIRIM
Author: Vural Yildirim [aut, cre] (<https://orcid.org/0000-0002-6517-7849>),
Yeliz Mert Kantar [aut, ths] (<https://orcid.org/0000-0001-7101-8943>)

Description: Tools for spatial data a nalysis.  Emphasis on kriging.  Provides functions for prediction and simulation.  Intended to be relatively straightforward, fast, and flexible.

Description: Tools for spatial data analysis.  Emphasis on kriging.
Provides functions for prediction and simulation.  Intended to
be relatively straightforward, fast, and flexible.

Description: Tools for spatial data analysis.  Emphasis on kriging.  Provides functions for prediction and simulation.  Intended to be relatively straightforward, fast, and flexible.