CRAN/E | SpatialRoMLE

SpatialRoMLE

Robust Maximum Likelihood Estimation for Spatial Error Model

Installation

About

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).

Key Metrics

Version 0.1.0
R ≥ 2.10
Published 2020-03-31 1087 days ago
Needs compilation? no
License GPL-3
CRAN checks SpatialRoMLE results

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Maintainer

Maintainer

Vural Yildirim

vurall_yildirim@hotmail.com

Authors

Vural Yildirim

aut / cre

Yeliz Mert Kantar

aut / ths

Material

Reference manual
Package source

macOS

r-release

arm64

r-oldrel

arm64

r-release

x86_64

r-oldrel

x86_64

Windows

r-devel

x86_64

r-release

x86_64

r-oldrel

x86_64

Depends

R ≥ 2.10