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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