Nothing
sphet: Estimation of Spatial Autoregressive Models with and without Heteroskedastic Innovations
Functions for fitting Cliff-Ord-type spatial autoregressive models with and without heteroskedastic innovations using Generalized Method of Moments estimation are provided. Some support is available for fitting spatial HAC models, and for fitting with non-spatial endogeneous variables using instrumental variables.
Getting started
Browse package contents
Package details |
|
|---|---|
| Author | Gianfranco Piras [aut, cre] (<https://orcid.org/0000-0003-0225-6061>), Roger Bivand [ctb] (<https://orcid.org/0000-0003-2392-6140>) |
| Maintainer | Gianfranco Piras <gpiras@mac.com> |
| License | GPL-2 |
| Version | 2.1-1 |
| URL | https://github.com/gpiras/sphet |
| Package repository | View on CRAN |
| Installation |
Install the latest version of this package by entering the following in R:
|
Try the sphet package in your browser
Any scripts or data that you put into this service are public.
