Specifies the statistic for a recency rank send effect in the
effects argument of tomstats or the
receiver_effects argument of aomstats.
Arguments
- consider_type
logical, indicates whether to discriminate between event types in determining the event rank (TRUE, default) or not (FALSE).
Details
The rrankSend effect refers to a rank-based recency effect, as described in section 2.2.5 of Butts (2008). For each timepoint t, for directed dyad (i,j) the statistic is equal to the inverse of the rank of receiver j among the actors to which sender i has most recently send past events. Note that the 'rrankSend' effect is only defined for directed events.
See also
rrankReceive, recencySendSender,
recencySendReceiver, recencyReceiveSender,
recencyReceiveReceiver and recencyContinue for
other type of recency effects
Examples
reh_tie <- remify::remify(history, model = "tie")
effects <- ~ rrankSend()
remstats(tie_effects = effects, reh = reh_tie)
#> Relational Event Network Statistics
#> > Model: tie-oriented
#> > Computation method: per time point
#> > Dimensions: 115 time points x 90 dyads x 2 statistics
#> > Statistics:
#> >> 1: baseline
#> >> 2: rrankSend
reh_actor <- remify::remify(history, model = "actor")
remstats(receiver_effects = effects, reh = reh_actor)
#> Relational Event Network Statistics
#> > Model: actor-oriented
#> > Computation method: per time point
#> > Sender model: empty
#> > Receiver model:
#> >> Dimensions: 115 events x 10 actors x 1 statistics
#> >> Statistics:
#> >>> 1: rrankSend