SpatialRoMLE

SpatialRoMLE-package

Robust Maximum Likelihood Estimation for Spatial Error Model.

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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>).

Vural Yildirim

Robust Maximum Likelihood Estimation for Spatial Error Model

Yeliz Mert Kantar

SpatialRoMLE-package function

Vural Yildirim <a href="/link/vurall_yildirim%40hotmail.com?package=SpatialRoMLE&version=0.1.1.1" data-mini-rdoc="SpatialRoMLE::vurall_yildirim@hotmail.com">vurall_yildirim@hotmail.com</a>
Yeliz Mert Kantar

Author

Spatial Robust MLE Package — SpatialRoMLE-package

Vural Yildirim <a href='mailto:vurall_yildirim@hotmail.com'>vurall_yildirim@hotmail.com</a>
Yeliz Mert Kantar

SpatialRoMLE-package: Spatial Robust MLE Package

Description

Arguments

Author

References