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.
| Version: | 2.1.0 |
| Depends: | R (≥ 3.5.0) |
| Imports: | stats |
| Suggests: | testthat, knitr, rmarkdown |
| Published: | 2025-02-21 |
| DOI: | 10.32614/CRAN.package.spfilteR |
| Author: | Sebastian Juhl |
| Maintainer: | Sebastian Juhl <sebastian.juhl at t-online.de> |
| BugReports: | https://github.com/sjuhl/spfilteR/issues |
| License: | GPL-3 |
| URL: | https://github.com/sjuhl/spfilteR |
| NeedsCompilation: | no |
| Citation: | spfilteR citation info |
| Materials: | README, NEWS |
| CRAN checks: | spfilteR results |
| Reference manual: | spfilteR.html , spfilteR.pdf |
| Vignettes: |
spfilteR: Semiparametric Spatial Filtering with Eigenvectors in (Generalized) Linear Models (source, R code) |
| Package source: | spfilteR_2.1.0.tar.gz |
| Windows binaries: | r-devel: spfilteR_2.1.0.zip, r-release: spfilteR_2.1.0.zip, r-oldrel: spfilteR_2.1.0.zip |
| macOS binaries: | r-release (arm64): spfilteR_2.1.0.tgz, r-oldrel (arm64): spfilteR_2.1.0.tgz, r-release (x86_64): spfilteR_2.1.0.tgz, r-oldrel (x86_64): spfilteR_2.1.0.tgz |
| Old sources: | spfilteR archive |
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