Plot the causal graph of a LiMResult with ggplot2

Draws the estimated causal structure of a LiM model as a ggplot2-based directed graph, exactly like autoplot.LingamResult().

Usage

# S3 method for class 'LiMResult'
autoplot(
  object,
  threshold = 0,
  node_size = 16,
  node_color = "lightblue",
  label_edges = TRUE,
  label_pos = 0.35,
  ...
)

Arguments

object

Return value of lingam_lim() (a LiMResult object)

threshold

Coefficients with an absolute value at or below this are not treated as edges (default: 0)

node_size

Node size (default: 16)

node_color

Node fill color (default: "lightblue")

label_edges

Whether to display coefficient labels on edges (default: TRUE)

label_pos

Position of each coefficient label along its edge, as a fraction from the source (0) to the target (1). The default 0.35 places labels off-center (toward the source) so labels on crossing edges do not overlap near the midpoint.

...

Unused

Value

A ggplot object

Examples

# \donttest{
if (requireNamespace("ggplot2", quietly = TRUE) &&
    requireNamespace("igraph", quietly = TRUE)) {
  library(ggplot2)
  set.seed(1)
  dat <- generate_lim_sample(n = 300)
  model <- lingam_lim(dat$data, is_continuous = dat$is_continuous)
  autoplot(model)
}

# }