Nothing
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>).
Package details |
|
---|---|
Author | Vural Yildirim [aut, cre] (<https://orcid.org/0000-0002-6517-7849>), Yeliz Mert Kantar [aut, ths] (<https://orcid.org/0000-0001-7101-8943>) |
Maintainer | Vural Yildirim <vurall_yildirim@hotmail.com> |
License | GPL-3 |
Version | 0.1.0 |
Package repository | View on CRAN |
Installation |
Install the latest version of this package by entering the following in R:
|
Any scripts or data that you put into this service are public.
Add the following code to your website.
For more information on customizing the embed code, read Embedding Snippets.