Spatial-X (SLX) Models for Applied Researchers R package slxr version 0.1.1 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>. Software 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 Cameron Wimpy <cwimpy@astate.edu> Comprehensive R Archive Network (CRAN) Cameron Wimpy [aut, cre] (ORCID: <https://orcid.org/0000-0002-2049-5229>) MIT + file LICENSE (https://CRAN.R-project.org/package=slxr/LICENSE) 2026-04-22 application/tgz https://CRAN.R-project.org/package=slxr doi:10.32614/CRAN.package.slxr