Classification Using Binary Procrustes Rotation

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Documentation for package ‘clubpro’ version 0.6.2

• DESCRIPTION file.
• User guides, package vignettes and other documentation.
• Package NEWS.

Help Pages

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.