Package: spfilteR 2.1.0

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:Sebastian Juhl [aut, cre]

spfilteR_2.1.0.tar.gz
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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

Datasets:

On CRAN:

Conda-Forge:

5.15 score 7 stars 10 scripts 400 downloads 12 exports 0 dependencies

Last updated 14 days agofrom:e733f18b57. Checks:8 OK. Indexed: yes.

TargetResultLatest binary
Doc / VignettesOKFeb 21 2025
R-4.5-winOKFeb 21 2025
R-4.5-macOKFeb 21 2025
R-4.5-linuxOKFeb 21 2025
R-4.4-winOKFeb 21 2025
R-4.4-macOKFeb 21 2025
R-4.3-winOKFeb 21 2025
R-4.3-macOKFeb 21 2025

Exports:getEVsglmFilterlmFilterMI.decompMI.evMI.localMI.residMI.sfMI.vecpartialR2vif.evvp

Dependencies:

spfilteR: Spatial Filtering with Eigenvectors

Sebastian Juhl

Rendered fromspfilteR_vignette.Rmdusingknitr::rmarkdownon Feb 21 2025.

Last update: 2025-02-21
Started: 2020-10-29