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