Package: SpatialRoMLE
Type: Package
Title: Robust Maximum Likelihood Estimation for Spatial Error Model
Version: 0.1.1.1
Date: 2025-07-20
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")))
Maintainer: Vural Yildirim <vurall_yildirim@hotmail.com>
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>).
License: GPL-3
Encoding: UTF-8
LazyData: true
RoxygenNote: 7.3.2
Depends: R (>= 2.10)
NeedsCompilation: no
Author: Vural Yildirim [aut, cre]
        (<https://orcid.org/0000-0002-6517-7849>), Yeliz Mert Kantar
        [aut, ths] (<https://orcid.org/0000-0001-7101-8943>)
Repository: https://wyilldirim.r-universe.dev
Date/Publication: 2025-07-20 19:16:06 UTC
RemoteUrl: https://github.com/wyilldirim/spatialromle
RemoteRef: HEAD
RemoteSha: c84b4bf610424f2076ad72dab9da7f7cb0a1356a
Packaged: 2026-06-17 10:23:43 UTC; root