Tidy summarizes information about the components of a model. A model component might be a single term in a regression, a single hypothesis, a cluster, or a class. Exactly what tidy considers to be a model component varies across models but is usually self-evident. If a model has several distinct types of components, you will need to specify which components to return.
The methods should work with any model that conforms to the ergm class, such as those produced from weighted networks by the ergm.count package.
# S3 method for ergm
tidy(x, conf.int = FALSE, conf.level = 0.95, exponentiate = FALSE, ...)An ergm object returned from a call to ergm::ergm().
Logical indicating whether or not to include a confidence
interval in the tidied output. Defaults to FALSE.
The confidence level to use for the confidence interval
if conf.int = TRUE. Must be strictly greater than 0 and less than 1.
Defaults to 0.95, which corresponds to a 95 percent confidence interval.
Logical indicating whether or not to exponentiate the
the coefficient estimates. This is typical for logistic and multinomial
regressions, but a bad idea if there is no log or logit link. Defaults
to FALSE.
Additional arguments to pass to ergm::summary().
Cautionary note: Misspecified arguments may be silently ignored.
A tibble::tibble with one row for each coefficient in the exponential random graph model, with columns:
The term in the model being estimated and tested
The estimated coefficient
The standard error
The MCMC error
The two-sided p-value
Hunter DR, Handcock MS, Butts CT, Goodreau SM, Morris M (2008b). ergm: A Package to Fit, Simulate and Diagnose Exponential-Family Models for Networks. Journal of Statistical Software, 24(3). https://www.jstatsoft.org/v24/i03/.
tidy(), ergm::ergm(), ergm::control.ergm(),
ergm::summary()
Other ergm tidiers:
glance.ergm()