Package: sphet 2.0.6

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:Gianfranco Piras [aut, cre], Roger Bivand [ctb]

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sphet.pdf |sphet.html
sphet/json (API)

# Install 'sphet' in R:
install.packages('sphet', repos = c('https://gpiras.r-universe.dev', 'https://cloud.r-project.org'))

Peer review:

Bug tracker:https://github.com/gpiras/sphet/issues

Datasets:
  • 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

On CRAN:

7.42 score 8 stars 3 packages 184 scripts 500 downloads 1 mentions 9 exports 38 dependencies

Last updated 4 months agofrom:bd8dd47dde. Checks:ERROR: 1 NOTE: 2 OK: 4. Indexed: yes.

TargetResultDate
Doc / VignettesFAILNov 07 2024
R-4.5-winNOTENov 07 2024
R-4.5-linuxNOTENov 07 2024
R-4.4-winOKNov 07 2024
R-4.4-macOKNov 07 2024
R-4.3-winOKNov 07 2024
R-4.3-macOKNov 07 2024

Exports:circulardistancegstslshetimpactskpjtestlistw2dgCMatrixread.gwt2distspregstslshac

Dependencies:bootclassclassIntclicodacodetoolsDBIdeldire1071glueKernSmoothlatticeLearnBayeslifecyclemagrittrMASSMatrixmultcompmvtnormnlmeproxyRcpprlangs2sandwichsfspspatialregspDataspdepstringistringrsurvivalTH.dataunitsvctrswkzoo

sphet: Spatial Models with Heteroskedastic Innovations

Rendered fromsphet.Rnwusingutils::Sweaveon Nov 07 2024.

Last update: 2024-02-07
Started: 2013-10-27