Track SRM effects over time — srm_trends • srm

Extracts actor or partner effects across time points from a fitted srm object and returns a tidy data frame suitable for plotting temporal trends.

Usage

srm_trends(object, type = c("actor", "partner"), actors = NULL)

Arguments

object: An object of class srm with multiple time points.
type: One of "actor" or "partner".
actors: Optional character vector of actor names to include. If NULL, all actors are included.

Value

A data frame with columns: actor, time, effect.

Examples

# \donttest{
sim = sim_srm(n_actors = 6, n_time = 5, seed = 6886)
fit = srm(sim$Y)
trends = srm_trends(fit, type = "actor")
head(trends)
#>   actor time      effect
#> 1   n01   t1  1.09381997
#> 2   n02   t1  1.49088028
#> 3   n03   t1 -1.83100076
#> 4   n04   t1  0.12870414
#> 5   n05   t1 -0.81020547
#> 6   n06   t1 -0.07219816
# }