summaryWald {fuzzySim} | R Documentation |
Model summary with Wald (instead of z) test statistics
Description
This function produces a summary of a generalized linear model, with the Wald test (instead of the z test) and associated statistics.
Usage
summaryWald(model, interceptLast = TRUE)
Arguments
model |
a model object of class "glm". |
interceptLast |
logical, whether to place the intercept in the last (rasther than the first) row of the output. Defaults to TRUE. |
Details
This function requires the aod package, whose wald.test
function is used for computing the Wald test.
Value
This function returns a data frame with the model summary statistics.
Author(s)
A. Marcia Barbosa
See Also
Examples
# 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)
[Package fuzzySim version 4.10.7 Index]