Coefficient plot of direct, indirect, and total effects

Produces a ggplot of the direct, indirect, and total effects from an SLX model, with 95% confidence intervals. For models with variable-specific weights matrices, effects are faceted by w_name so spillover patterns from each matrix are visible side-by-side.

Usage

slx_plot_effects(
  fit,
  types = c("direct", "indirect", "total"),
  conf.level = 0.95,
  by_order = FALSE,
  ...
)

Arguments

fit: An slx object returned by slx().
types: Character vector of effect types to include. Any subset of c("direct", "indirect", "total"). Default shows all three.
conf.level: Confidence level for the intervals. Default 0.95.
by_order: Logical; if TRUE, break indirect effects out by order of W. Default FALSE.
...: Passed to slx_effects().

Value

A ggplot object.

Examples

data(defense_burden)
W <- slx_weights(style = "custom", matrix = defense_burden$W_contig,
                 row_standardize = FALSE)
fit <- slx(ch_milex ~ milex_tm1 + civilwar_tm1,
           data = defense_burden$data, W = W, lag = "civilwar_tm1")
slx_plot_effects(fit)