summary.ergmm {latentnet} | R Documentation |
summary.ergmm
prodcues a summary of an ergmm
object, including
point estimates, standard errors, and BIC calculation.
## S3 method for class 'ergmm': summary(object, point.est = c("pmean", "mkl"), quantiles = c(0.025, 0.975), se = FALSE, ...)
object |
An ergmm object to be summarized. |
point.est |
Point estimates to compute: a character vector with some subset of the following: "mle", "pmean","mkl","pmode". |
quantiles |
Posterior quantiles (credible intervals) to compute. |
se |
Whether to compute standard errors. |
... |
Additional arguments. Currently unused. |
An object of class
summary.ergmm
. A print method is
available.
The BICs are available as the element "bic" of the object
returned. Note that BIC computed for the random effects models may not be correct.
data(sampson) samp.fit <- ergmm(samplike ~ latent(d=2, G=3)+rreceiver) summary(samp.fit)