Overview of statistics in the tie-oriented model, see Details.
Arguments
- directed
logical value. The function outputs all statistics in the tie-oriented model for directed events if true, or all statistics in the tie-oriented model for undirected events if false.
- endogenous
logical value. The function outputs all endogenous statistics in the tie-oriented model if true, or all exogenous statistics if false
Details
Overview of statistics in the tie-oriented model.
Baseline:
Exogenous statistics:
Endogenous statistics:
Examples
# List of available effects
tie_effects()
#> [1] "baseline" "FEtype" "send"
#> [4] "receive" "tie" "same"
#> [7] "difference" "average" "minimum"
#> [10] "maximum" "event" "inertia"
#> [13] "reciprocity" "indegreeSender" "indegreeReceiver"
#> [16] "outdegreeSender" "outdegreeReceiver" "totaldegreeSender"
#> [19] "totaldegreeReceiver" "totaldegreeDyad" "degreeMin"
#> [22] "degreeMax" "degreeDiff" "otp"
#> [25] "itp" "osp" "isp"
#> [28] "sp" "psABBA" "psABBY"
#> [31] "psABXA" "psABXB" "psABXY"
#> [34] "psABAY" "psABAB" "rrankSend"
#> [37] "rrankReceive" "recencyContinue" "recencySendSender"
#> [40] "recencySendReceiver" "recencyReceiveSender" "recencyReceiveReceiver"
#> [43] "userStat"
# List of available effects for undirected networks
tie_effects(directed = FALSE)
#> [1] "baseline" "FEtype" "tie" "same"
#> [5] "difference" "average" "minimum" "maximum"
#> [9] "event" "inertia" "totaldegreeDyad" "degreeMin"
#> [13] "degreeMax" "degreeDiff" "sp" "psABAY"
#> [17] "psABAB" "recencyContinue" "userStat"
# List of available endogenous effects for undirected networks
tie_effects(directed = FALSE, endogenous = TRUE)
#> [1] "baseline" "FEtype" "inertia" "totaldegreeDyad"
#> [5] "degreeMin" "degreeMax" "degreeDiff" "sp"
#> [9] "psABAY" "psABAB" "recencyContinue"