Like glance.LingamResult(). n_edges counts non-NA edges only, and
n_na_entries counts the adjacency-matrix entries left NA (unresolved
order / suspected latent confounding). Unresolved blocks in the causal
order are shown in parentheses, as in the print method.
Usage
# S3 method for class 'ParceLingamResult'
glance(x, ...)Arguments
- x
The return value of
lingam_parce()(aParceLingamResultobject)- ...
Unused
Examples
dat <- generate_parce_sample(n = 500, seed = 42)
model <- lingam_parce(dat$data)
glance(model)
#> n_variables n_edges n_na_entries causal_order
#> 1 6 7 0 x2 -> x3 -> x0 -> x5 -> x1 -> x4