ergmx.GofNSummary#

class ergmx.GofNSummary(gof, groups)[source]#

Summaries of the observed and fitted values and the Pearson residuals of each statistic over the networks (by group, with by), as ergm.multi’s summary(gofN): minimum, quartiles, mean, maximum and the number of networks where the statistic doesn’t vary; and the variance and standard deviation of the residuals, which are near 1 for a model that fits.

to_frame()[source]#

As a pandas DataFrame: group, part and statistic by row. Needs pandas.