Classification Using Binary Procrustes Rotation
Plot classification strength indices.
Plot classification accuracy.
Plot predictions.
Plot PCC replicates.
Plot PCC as a function of binary category boundary location.
Predicted category for each observation.
Generate a summary of a comparison of clubprofit models.
Generate a summary of results from a fitted clubpro model.
Classification strength indices.
Median classification strength index.
Number of ambiguous classifications.
Number of correct classifications.
Number of incorrect classifications.
Percentage of correct classifications.
PCC replicates.
Plot accuracy.
Plot model comparison.
Classification accuracy for each observation.
Convert the output of csi() to a data.frame.
Convert the output of pcc_replicates() to a data.frame.
Classify observations.
Compare models.
Classification strength indices.
Chance value.
Individual level classification results.
Implements a classification method described by Grice (2011, ISBN:978-0-12-385194-9) using binary procrustes rotation; a simplified version of procrustes rotation.