Package: spfilteR 1.1.5
spfilteR: Semiparametric Spatial Filtering with Eigenvectors in (Generalized) Linear Models
Tools to decompose (transformed) spatial connectivity matrices and perform supervised or unsupervised semiparametric spatial filtering in a regression framework. The package supports unsupervised spatial filtering in standard linear as well as some generalized linear regression models.
Authors:
spfilteR_1.1.5.tar.gz
spfilteR_1.1.5.zip(r-4.5)spfilteR_1.1.5.zip(r-4.4)spfilteR_1.1.5.zip(r-4.3)
spfilteR_1.1.5.tgz(r-4.4-any)spfilteR_1.1.5.tgz(r-4.3-any)
spfilteR_1.1.5.tar.gz(r-4.5-noble)spfilteR_1.1.5.tar.gz(r-4.4-noble)
spfilteR_1.1.5.tgz(r-4.4-emscripten)spfilteR_1.1.5.tgz(r-4.3-emscripten)
spfilteR.pdf |spfilteR.html✨
spfilteR/json (API)
NEWS
# Install 'spfilteR' in R: |
install.packages('spfilteR', repos = c('https://sjuhl.r-universe.dev', 'https://cloud.r-project.org')) |
Bug tracker:https://github.com/sjuhl/spfilter/issues
- W - Synthetic Dataset
- fakedataset - Synthetic Dataset
Last updated 2 years agofrom:cd17adf0f1. Checks:OK: 7. Indexed: yes.
Target | Result | Date |
---|---|---|
Doc / Vignettes | OK | Nov 15 2024 |
R-4.5-win | OK | Nov 15 2024 |
R-4.5-linux | OK | Nov 15 2024 |
R-4.4-win | OK | Nov 15 2024 |
R-4.4-mac | OK | Nov 15 2024 |
R-4.3-win | OK | Nov 15 2024 |
R-4.3-mac | OK | Nov 15 2024 |
Exports:getEVsglmFilterlmFilterMI.decompMI.evMI.localMI.residMI.sfMI.vecpartialR2vif.evvp
Dependencies: