Package index
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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.