# load sample data:
data(rotif.env)
names(rotif.env)
# build a model of a species' occurrence based on
# some of the variables:
model <- glm(Abrigh ~ Area + Altitude + AltitudeRange + HabitatDiversity +
HumanPopulation, family = binomial, data = rotif.env)
# get the Wald-based model summary:
summaryWald(model)
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