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slxr  

Spatial-X (SLX) Models for Applied Researchers
View on CRAN: Click here


Download and install slxr package within the R console
Install from CRAN:
install.packages("slxr")

Install from Github:
library("remotes")
install_github("cran/slxr")

Install by package version:
library("remotes")
install_version("slxr", "0.1.1")



Attach the package and use:
library("slxr")
Maintained by
Cameron Wimpy
[Scholar Profile | Author Map]
All associated links for this package
First Published: 2026-04-22
Latest Update: 2026-04-22
Description:
Tools for estimating, interpreting, and visualizing Spatial-X (SLX) regression models. Provides a formula-based interface with first-class support for variable-specific weights matrices, higher-order spatial lags, temporally-lagged spatial variables (TSLS), and tidy effects decomposition (direct, indirect, total). Designed to lower the barrier to SLX modeling for applied researchers who already work with 'sf' and 'lm'-style formulas. Methods follow Wimpy, Whitten, and Williams (2021) <doi:10.1086/710089>.
How to cite:
Cameron Wimpy (2026). slxr: Spatial-X (SLX) Models for Applied Researchers. R package version 0.1.1, https://cran.r-project.org/web/packages/slxr. Accessed 12 Sep. 2026.
Previous versions and publish date:
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Complete documentation for slxr
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Full slxr package functions and examples
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