Get a one-row summary of a CAMUVResult

Like glance.LingamResult(), but without a causal order (CAM-UV does not estimate one). n_edges counts non-NA edges only, and n_confounded_pairs counts the variable pairs whose adjacency-matrix entries are NA (suspected unobserved causal/backdoor path).

Usage

# S3 method for class 'CAMUVResult'
glance(x, ...)

Arguments

x

The return value of lingam_camuv() (a CAMUVResult object)

...

Unused

Value

A one-row data.frame(n_variables, n_edges, n_confounded_pairs, regressor)

Examples

# \donttest{
if (requireNamespace("mgcv", quietly = TRUE)) {
  confounded <- generate_camuv_sample(n = 200, seed = 1)
  model <- lingam_camuv(confounded$data)
  glance(model)
}
#>   n_variables n_edges n_confounded_pairs regressor
#> 1           6       3                  2       gam
# }