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:Sebastian Juhl [aut, cre]

spfilteR_1.1.5.tar.gz
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spfilteR_1.1.5.tgz(r-4.4-any)spfilteR_1.1.5.tgz(r-4.3-any)
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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'))

Peer review:

Bug tracker:https://github.com/sjuhl/spfilter/issues

Datasets:

On CRAN:

12 exports 7 stars 1.26 score 0 dependencies 9 scripts 281 downloads

Last updated 2 years agofrom:cd17adf0f1. Checks:OK: 7. Indexed: yes.

TargetResultDate
Doc / VignettesOKSep 16 2024
R-4.5-winOKSep 16 2024
R-4.5-linuxOKSep 16 2024
R-4.4-winOKSep 16 2024
R-4.4-macOKSep 16 2024
R-4.3-winOKSep 16 2024
R-4.3-macOKSep 16 2024

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

Dependencies:

spfilteR: Spatial Filtering with Eigenvectors

Rendered fromspfilteR_vignette.Rmdusingknitr::rmarkdownon Sep 16 2024.

Last update: 2021-08-13
Started: 2020-10-29