Package: SpatialRegimes 1.1
SpatialRegimes: Spatial Constrained Clusterwise Regression
A collection of functions for estimating spatial regimes, aggregations of neighboring spatial units that are homogeneous in functional terms. The term spatial regime, therefore, should not be understood as a synonym for cluster. More precisely, the term cluster does not presuppose any functional relationship between the variables considered, while the term regime is linked to a regressive relationship underlying the spatial process.
Authors:
SpatialRegimes_1.1.tar.gz
SpatialRegimes_1.1.zip(r-4.5)SpatialRegimes_1.1.zip(r-4.4)SpatialRegimes_1.1.zip(r-4.3)
SpatialRegimes_1.1.tgz(r-4.4-any)SpatialRegimes_1.1.tgz(r-4.3-any)
SpatialRegimes_1.1.tar.gz(r-4.5-noble)SpatialRegimes_1.1.tar.gz(r-4.4-noble)
SpatialRegimes_1.1.tgz(r-4.4-emscripten)SpatialRegimes_1.1.tgz(r-4.3-emscripten)
SpatialRegimes.pdf |SpatialRegimes.html✨
SpatialRegimes/json (API)
NEWS
# Install 'SpatialRegimes' in R: |
install.packages('SpatialRegimes', repos = c('https://fvidoli.r-universe.dev', 'https://cloud.r-project.org')) |
- SimData - Simulated data for estimating spatial regimes.
This package does not link to any Github/Gitlab/R-forge repository. No issue tracker or development information is available.
Last updated 2 years agofrom:7ed6af7dc1. Checks:OK: 7. Indexed: yes.
Target | Result | Date |
---|---|---|
Doc / Vignettes | OK | Oct 26 2024 |
R-4.5-win | OK | Oct 26 2024 |
R-4.5-linux | OK | Oct 26 2024 |
R-4.4-win | OK | Oct 26 2024 |
R-4.4-mac | OK | Oct 26 2024 |
R-4.3-win | OK | Oct 26 2024 |
R-4.3-mac | OK | Oct 26 2024 |
Dependencies:bdsmatrixbootclassclassIntcodacodetoolscollapseDBIdeldirDEoptimRdigeste1071FNNFormulagenericsGWmodelintervalsKernSmoothlatticeLearnBayeslmtestmagrittrMASSMatrixMatrixModelsmaxLikmiscToolsmultcompmvtnormnlmeplmproxyquantregrbibutilsRcppRcppArmadilloRcppEigenRdpackrobustbases2sandwichsfspspacetimeSparseMspatialregspDataspdepsurvivalTH.dataunitswkxtszoo