Compares influence trajectories of multiple groups
Usage
compare_group_influence(
fit,
groups,
group_names = NULL,
type = c("sender", "target"),
measure = c("rowsum", "rowmean", "l2"),
fun = c("mean", "sum"),
cred = 0.95
)
Arguments
- fit
A "dbn" object from dbn_dynamic()
- groups
List of integer vectors, each defining a group
- group_names
Optional character vector of group names
- type
"sender" or "target"
- measure
Per-actor metric: "rowsum", "rowmean", "l2"
- fun
Aggregation: "mean" or "sum"
- cred
Credible band level
Examples
# \donttest{
sim <- simulate_dynamic_dbn(n = 10, time = 10, seed = 6886)
fit <- dbn(sim$Z, model = "dynamic", family = "gaussian",
nscan = 200, burn = 100, verbose = FALSE)
compare_group_influence(fit,
groups = list(c(1, 3, 5), c(2, 4, 6)),
group_names = c("Group A", "Group B"))
#> Error in if (type == "sender") "Sender" else "Target": the condition has length > 1
# }