Specifies the statistic for a recency continue effect in the
effects argument of tomstats or the
receiver_effects argument of aomstats.
Arguments
- consider_type
logical, indicates whether to compute the recency separately for each event type (TRUE, default) or regardless of event types (FALSE).
Details
The recencyContinue effect refers to a recency statistic similar to what is described in Vu et al. (2017) and Mulder and Leenders (2019). For each timepoint t, for directed dyad (i,j) the statistic is equal to 1/(the time that has past since the dyad was last active + 1).
See also
rrankSend, rrankReceive,
recencySendSender, recencyReceiveSender,
recencyReceiveSender and recencyReceiveReceiver
for other type of recency effects
Examples
effects <- ~ recencyContinue()
reh_tie <- remify::remify(history, model = "tie")
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: recencyContinue
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: recencyContinue