Package: sphet 2.1-1
Gianfranco Piras
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.
Authors:
sphet_2.1-1.tar.gz
sphet_2.1-1.tar.gz(r-4.5-noble)sphet_2.1-1.tar.gz(r-4.4-noble)
sphet_2.1-1.tgz(r-4.4-emscripten)sphet_2.1-1.tgz(r-4.3-emscripten)
sphet.pdf |sphet.html✨
sphet/json (API)
| # Install 'sphet' in R: |
| install.packages('sphet', repos = c('https://cran.r-universe.dev', 'https://cloud.r-project.org')) |
Bug tracker:https://github.com/gpiras/sphet/issues
- coldis - Object of class distance for Columbus dataset 10-nearest neighbors matrix for columbus dataset
- knn10columbus - Object of class distance for Columbus dataset 10-nearest neighbors matrix for columbus dataset
Last updated 20 days agofrom:4f9784f9a7. Checks:ERROR: 1 OK: 1. Indexed: no.
| Target | Result | Date |
|---|---|---|
| Doc / Vignettes | FAIL | Dec 06 2024 |
| R-4.5-linux | OK | Dec 06 2024 |
Exports:circulardistancegstslshetimpactskpjtestlistw2dgCMatrixread.gwt2distspregstslshac
Dependencies:bootclassclassIntclicodacodetoolsDBIdeldire1071glueKernSmoothlatticeLearnBayeslifecyclemagrittrMASSMatrixmultcompmvtnormnlmeproxyRcpprlangs2sandwichsfspspatialregspDataspdepstringistringrsurvivalTH.dataunitsvctrswkzoo
sphet: Spatial Models with Heteroskedastic Innovations
Rendered fromsphet.Rnwusingutils::Sweaveon Dec 06 2024.Last update: 2024-12-06
Started: 2013-11-04
