slxr: Spatial-X (SLX) Models for Applied Researchers
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>.
| Version: | 0.1.1 |
| Depends: | R (≥ 4.1.0) |
| Imports: | spdep, sf, Matrix, tibble, stats, generics, rlang |
| Suggests: | ggplot2, modelsummary, broom, knitr, rmarkdown, testthat (≥ 3.0.0), dplyr, tidyr, haven |
| Published: | 2026-04-22 |
| DOI: | 10.32614/CRAN.package.slxr |
| Author: | Cameron Wimpy 
[aut, cre] |
| Maintainer: | Cameron Wimpy <cwimpy at astate.edu> |
| BugReports: | https://github.com/cwimpy/slxr/issues |
| License: | MIT + file LICENSE |
| URL: | https://github.com/cwimpy/slxr |
| NeedsCompilation: | no |
| Citation: | slxr citation info |
| Materials: | README, NEWS |
| CRAN checks: | slxr results |
Documentation:
| Reference manual: | slxr.html , slxr.pdf |
| Vignettes: |
Getting started with slxr (source, R code) Replicating Wimpy, Whitten, and Williams (2021) (source, R code) |
Downloads:
| Package source: | slxr_0.1.1.tar.gz |
| Windows binaries: | r-release: slxr_0.1.1.zip, r-oldrel: slxr_0.1.1.zip |
| macOS binaries: | r-release (arm64): slxr_0.1.1.tgz, r-oldrel (arm64): slxr_0.1.1.tgz, r-release (x86_64): slxr_0.1.1.tgz, r-oldrel (x86_64): slxr_0.1.1.tgz |
Linking:
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