Like glance.LingamResult(), with an additional regressor column giving
the regressor label used for the internal nonlinear regressions.
Usage
# S3 method for class 'ResitResult'
glance(x, ...)Arguments
- x
The return value of
lingam_resit()(aResitResultobject)- ...
Unused
Examples
# \donttest{
if (requireNamespace("mgcv", quietly = TRUE)) {
nonlinear <- generate_resit_sample(n = 300, seed = 1)
model <- lingam_resit(nonlinear$data)
glance(model)
}
#> n_variables n_edges regressor causal_order
#> 1 4 4 gam x0 -> x1 -> x2 -> x3
# }
