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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.

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 JuhlORCID iD [aut, cre]
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

Documentation:

Reference manual:spfilteR.html ,spfilteR.pdf
Vignettes:spfilteR: Semiparametric Spatial Filtering with Eigenvectors in (Generalized) Linear Models (source,R code)

Downloads:

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

Linking:

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