Get a one-row summary of an RCDResult

Like glance.LingamResult(), but without a causal order (RCD 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 shared latent confounder).

Usage

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

Arguments

x

The return value of lingam_rcd() (an RCDResult object)

...

Unused

Value

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

Examples

confounded <- generate_rcd_sample(n = 300, seed = 1)
model <- lingam_rcd(confounded$data)
glance(model)
#>   n_variables n_edges n_confounded_pairs
#> 1           6       6                  1