SpatialRoMLE
Robust Maximum Likelihood Estimation for Spatial Error Model
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).
- Version0.1.0
- R versionunknown
- LicenseGPL-3
- Needs compilation?No
- Last release03/31/2020
Team
Vural Yildirim
Yeliz Mert Kantar
Insights
Last 30 days
The following line graph shows the downloads per day. You can hover over the graph to see the exact number of downloads per day.
Last 365 days
The following line graph shows the downloads per day. You can hover over the graph to see the exact number of downloads per day.
Data provided by CRAN