Overview of statistics in the tie-oriented model.
Baseline:
Exogenous statistics:
send()
receive()
tie()
same()
difference()
average()
minimum()
maximum()
event()
userStat()
Endogenous statistics:
indegreeSender()
indegreeReceiver()
outdegreeSender()
outdegreeReceiver()
totaldegreeSender()
totaldegreeReceiver()
totaldegreeDyad()
degreeMin()
degreeMax()
degreeDiff()
inertia()
reciprocity()
otp()
itp()
osp()
isp()
sp()
psABBA()
psABBY()
psABXA()
psABXB()
psABXY()
psABAY()
psABAB()
rrankSend()
rrankReceive()
recencySendSender()
recencySendReceiver()
recencyReceiveSender()
recencyReceiveReceiver()
recencyContinue()
FEtype()
Directed vs. undirected availability
The set of available effects depends on whether events are directed.
Use tie_effects(directed = TRUE) or
tie_effects(directed = FALSE) to obtain the authoritative list
for the current package version.
For undirected events (directed = FALSE), the available tie-model effects are:
baseline, FEtype
tie, same, difference,
average, minimum, maximum
event, userStat
inertia, totaldegreeDyad,
degreeMin, degreeMax, degreeDiff
sp, psABAY, psABAB,
recencyContinue