ergmito_boot: Bootstrap of ergmito

In muriteams/lergm: Exponential Random Graph Models for Small Networks

Bootstrap of ergmito

Description

Bootstrap of ergmito

Usage

ergmito_boot(x, ..., R, ncpus = 1L, cl = NULL)

Arguments

x	Either a formula or an object of class ergmito.
...	Additional arguments passed to the method.
R	Integer. Number of replicates
ncpus	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)

Details

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.

Value

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.

Examples

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)

muriteams/lergm documentation built on April 13, 2025, 6:26 a.m.