S3 generic dispatched on the class of x. Provided so bootstrap(net)
works directly on an htna network (see bootstrap_htna()).
Examples
# \donttest{
data(human_ai)
net <- build_htna(human_ai, actor_type = "actor_type")
#> Warning: A network with one long sequence is not recommended and can't be validated using bootstrap and other confirmatory testings.
#> Metadata aggregated per session: ties resolved by first occurrence in 'session_date' (1 sessions), 'cluster' (42 sessions), 'actor_type' (24 sessions)
bootstrap(net, iter = 50)
#> Edge Mean 95% CI p
#> -----------------------------------------------
#> Delegate → Plan 0.615 [0.556, 0.675] *
#> Refine → Specify 0.412 [0.361, 0.463] *
#> Check → Execute 0.411 [0.385, 0.438] *
#> Ask → Plan 0.409 [0.387, 0.435] *
#> Repair → Execute 0.385 [0.298, 0.448] *
#> ... and 54 more significant edges
#>
#> Bootstrap Network [Transition Network (relative) | directed]
#> Iterations : 50 | Nodes : 12
#> Edges : 59 significant / 135 total
#> CI : 95% | Inference: stability | CR [0.75, 1.25]
# }
