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SpatialRoMLE  

Robust Maximum Likelihood Estimation for Spatial Error Model
View on CRAN: Click here


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

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

Install by package version:
library("remotes")
install_version("SpatialRoMLE", "0.1.0")



Attach the package and use:
library("SpatialRoMLE")
Maintained by
Vural Yildirim
[Scholar Profile | Author Map]
All associated links for this package
First Published: 2020-03-31
Latest Update: 2020-03-31
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>).
How to cite:
Vural Yildirim (2020). SpatialRoMLE: Robust Maximum Likelihood Estimation for Spatial Error Model. R package version 0.1.0, https://cran.r-project.org/web/packages/SpatialRoMLE. Accessed 22 Dec. 2024.
Previous versions and publish date:
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Complete documentation for SpatialRoMLE
Functions, R codes and Examples using the SpatialRoMLE R package
Some associated functions: IPS_coefs . IPS_data . RoMLE.error . SpatialRoMLE . TRQWM . unemployment_coefs . unemployment_data . 
Some associated R codes: IPS_coefs.R . IPS_data.R . RoMLE.error.R . SpatialRoMLE.R . TRQWM.R . unemployment_coefs.R . unemployment_data.R .  Full SpatialRoMLE package functions and examples
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