Package: sphet
Version: 2.0
Date: 2022-01-05
Title: Estimation of Spatial Autoregressive Models with and without
        Heteroskedastic Innovations
Authors@R: c(person(given = "Gianfranco", family = "Piras", role = c("aut", "cre"), email = "gpiras@mac.com",comment=c(ORCID="0000-0003-0225-6061")),person(given = "Roger", family = "Bivand", role = c("ctb"), email = "Roger.Bivand@nhh.no", comment=c(ORCID="0000-0003-2392-6140")))
Depends: R (>= 3.0.1)
Imports: nlme, spatialreg, spdep, Matrix, sp, methods, stats, utils,
        mvtnorm, stringr, coda, spData, sf
Suggests:
URL: https://github.com/gpiras/sphet
BugReports: https://github.com/gpiras/sphet/issues
Description: 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.
License: GPL-2
LazyLoad: yes
LazyData: no
RoxygenNote: 7.2.0
NeedsCompilation: no
Packaged: 2022-01-05 18:02:33 UTC; gpiras
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>
Repository: CRAN
Date/Publication: 2022-01-06 00:10:02 UTC