Summarizes the entire model in a single row. The data X is not required
because no residuals are computed. If residual-based diagnostics are needed,
use summary_lingam() instead.
Usage
# S3 method for class 'LingamResult'
glance(x, ...)Arguments
- x
The return value of
lingam_direct()(aLingamResultobject)- ...
Unused
Examples
dat <- generate_lingam_sample_6()
model <- lingam_direct(dat$data, reg_method = "ols")
glance(model)
#> n_variables n_edges causal_order
#> 1 6 15 x3 -> x2 -> x0 -> x4 -> x5 -> x1
