Changes in version 0.1.1 (2026-04-22)                  

CRAN resubmission addressing feedback from the initial submission.

  - Added \value sections to slx-tidiers.Rd (documenting the tibble
    columns returned by tidy.slx() and glance.slx()) and
    slx_sensitivity.Rd (documenting that the stub is called for its side
    effect of signalling an error, with a note on the planned future
    return value).
  - Removed all \dontrun{} blocks from examples. Examples in
    slx-tidiers, slx_effects, slx_plot_effects, and slx_plot_shock are
    now unwrapped and run against the bundled defense_burden dataset.
    The slx_weights example now runs a custom-matrix case by default;
    the optional sf-based contiguity example is wrapped in \donttest{}
    and guarded by requireNamespace().

                        Changes in version 0.1.0                        

Initial CRAN release.

Core

  - slx() fits Spatial-X regression models of the form y = X*beta +
    WX*theta + epsilon via OLS on an augmented design matrix, with a
    formula interface and first-class support for variable-specific
    weights matrices.
  - slx_weights() constructs slx_W weights objects from sf input
    (contiguity, rook, knn, distance) or from a user-supplied matrix
    (custom).
  - slx_effects() returns a tidy tibble with direct, indirect, and total
    effects and their standard errors.
  - Higher-order spatial lags (order = 1:k) supported.

Panel support

  - id and time arguments turn slx() into a panel estimator. Weights
    matrices can be time-invariant or supplied as named year-keyed
    lists. Unbalanced panels are handled automatically.
  - time_lag = k implements the temporally-lagged spatial lag (TSLS,
    equation 7 of Wimpy, Whitten, and Williams 2021).

Interpretation and visualization

  - slx_compare() produces side-by-side fit statistics for lm and slx
    objects, with optional Moran's I on residuals.
  - slx_plot_effects(), slx_plot_decay(), slx_plot_shock(), and
    slx_plot_W() return ggplot objects that can be further customized
    with + geom_*() / + theme_*().
  - tidy() and glance() methods for compatibility with the broom and
    modelsummary ecosystems.

Data

  - defense_burden: 1995 cross-section of 179 countries with three
    sparse weights matrices (contiguity, alliance, defense pact).
  - defense_burden_panel: 1951-2008 panel (7,661 observations) with
    year-specific sparse weights matrices.

Both datasets are drawn from the replication archive for Wimpy, Whitten,
and Williams (2021), Journal of Politics 83(2): 722-739.