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All functions

accuracy()
Classification accuracy for each observation.
as.data.frame(<clubprocsi>)
Convert the output of csi() to a data.frame.
as.data.frame(<clubprorand>)
Convert the output of pcc_replicates() to a data.frame.
caffeine
Caffeine data
club()
Classify observations.
compare()
Compare models.
csi()
Classification strength indices.
cval()
Chance value.
individual_results()
Individual level classification results.
jellyfish
Jellyfish dimension data
median_csi()
Median classification strength index.
n_ambiguous()
Number of ambiguous classifications.
n_correct()
Number of correct classifications.
n_incorrect()
Number of incorrect classifications.
pcc()
Percentage of correct classifications.
pcc_replicates()
PCC replicates.
plot(<clubproaccuracy>)
Plot accuracy.
plot(<clubprocomparison>)
Plot model comparison.
plot(<clubprocsi>)
Plot classification strength indices.
plot(<clubprofit>)
Plot classification accuracy.
plot(<clubpropredictions>)
Plot predictions.
plot(<clubprorand>)
Plot PCC replicates.
plot(<clubprothreshold>)
Plot PCC as a function of binary category boundary location.
predict(<clubprofit>)
Predicted category for each observation.
summary(<clubprocomparison>)
Generate a summary of a comparison of clubprofit models.
summary(<clubprofit>)
Generate a summary of results from a fitted clubpro model.
threshold()
Classification strength indices.