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
Roxygen: list(markdown = 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
Config/pak/sysreqs: libabsl-dev cmake libgdal-dev gdal-bin libgeos-dev
        libssl-dev libproj-dev libsqlite3-dev libudunits2-dev
Repository: https://cwimpy.r-universe.dev
Date/Publication: 2026-04-27 18:30:33 UTC
RemoteUrl: https://github.com/cwimpy/slxr
RemoteRef: HEAD
RemoteSha: 53f5f17acf70d96b07bc6cceac4f87489afc43e3
NeedsCompilation: no
Packaged: 2026-10-10 15:54:29 UTC; root
Author: Cameron Wimpy [aut, cre] (ORCID:
    <https://orcid.org/0000-0002-2049-5229>)
Maintainer: Cameron Wimpy <cwimpy@astate.edu>