Goodness-of-Fit diagnostics for LSM model

Source: R/goflsm.R

This function produces goodness-of-fit diagnostics for LSM model.

goflsm(object, Y, Ysim = NULL, nsim = 100, seed, directed = NULL,
  stats = NULL, doplot = TRUE, parm = TRUE)

Arguments

object

object of class 'lsm'
Y

(N x N) binary adjacency matrix
Ysim

list containing simulated (N x N) adjacency marices. Default Ysim = NULL
nsim

number of simulations. Default nsim = 100
seed

for simulations
directed

if the network is directed or not. Default directed = NULL
stats

statistics used. Default stats = NULL
doplot

draw boxplot. Default doplot = TRUE
parm

do all the plots in one window. Default parm = TRUE

See also

lsm, simulateLSM, plot.gofobj, print.gofobj

Examples


Y <- network(15, directed = FALSE)[,]

modLSM <- lsm(Y, D = 2)
myGof <- goflsm(modLSM, Y = Y)