Bootstrap of ergmito
ergmito_boot(x, ..., R, ncpus = 1L, cl = NULL)
x
: Either a formula or an object of class ergmito ....
: Additional arguments passed to the method.R
: Integer. Number of replicatesncpus
: Integer Number of CPUs to use. Only recommended if ergmito
was not compiled with OpenMP (otherwise it will be slower).cl
: An object of class cluster
(see makePSOCKcluster
)An object of class ergmito_boot
and ergmito . This adds three elements to the ergmito
object:
R
The number of replicates.sample
A vector of length R
with the cases used in each replicate.dist
The distribution of fitted parameters.nvalid
the number of cases used for computing the covar.timer_boot
records the time the whole process took.The resulting sample of parameters estimates is then used to compute the variance-covariance matrix of the model. Cases in which Inf
/NaN
/NA
values were returned are excluded from the calculation.
data(fivenets) set.seed(123) ans0 <- ergmito(fivenets ~ edges + ttriad) ans1 <- suppressWarnings(ergmito_boot(ans0, R = 100)) ans2 <- suppressWarnings(ergmito_boot(fivenets ~ edges + ttriad, R = 100)) # Checking the differences summary(ans0) summary(ans1) summary(ans2)