Package: slxr
Type: Package
Title: Spatial-X (SLX) Models for Applied Researchers
Version: 0.1.1
Authors@R: c(
    person("Cameron", "Wimpy", email = "cwimpy@astate.edu",
           role = c("aut", "cre"),
           comment = c(ORCID = "0000-0002-2049-5229"))
    )
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>.
License: MIT + file LICENSE
Encoding: UTF-8
LazyData: true
RoxygenNote: 7.3.3
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
Config/testthat/edition: 3
VignetteBuilder: knitr
URL: https://github.com/cwimpy/slxr
BugReports: https://github.com/cwimpy/slxr/issues
NeedsCompilation: no
Packaged: 2026-04-20 21:41:04 UTC; cwimpy
Author: Cameron Wimpy [aut, cre] (ORCID:
    <https://orcid.org/0000-0002-2049-5229>)
Maintainer: Cameron Wimpy <cwimpy@astate.edu>
Repository: CRAN
Date/Publication: 2026-04-22 13:10:02 UTC
Built: R 4.6.0; ; 2026-04-26 10:24:56 UTC; unix
