Estimate significant of predictor-group association using naive Bayes model
# S3 method for bbl
summary(object, prior.count = 0, ...)
Object of class bbl
Prior count to be used for computing naive Bayes
coefficients and test results. If 0
, will produce NA
s
for factor levels without data points.
Other arguments to methods.
Object of class summary.bbl
extending bbl
class;
a list with extra components
List of bias coefficients of response groups under naive Bayes approximation
Bias coefficients of pooled group under naive Bayes
Vector of chi-square statistics for likelihood ratio test for each predictor
Vector of degrees of freedom for likelihood ratio test for each predictor
Vector p-values for each predictor
This summary.bbl
method gives a rough overview of associations
within a bbl
fit object via naive Bayes coefficients and test
p-values. Note that naive Bayes results displayed ignore interactions
even when interactions are present in the model being displayed. This
feature is because simple analytic results exist for naive Bayes
coefficients and test p-values. The likelihood ratio test is with respect
to the null hypothesis that coefficients are identical for all response
groups.