classify: Use trained models to classify observed cue values
In kleinschmidt/phondisttools: Tools for Analyzing Phonetic Cue Distributions

Description Usage Arguments Value Functions

Names of columns are taken from the names of the first mu in models.

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classify(data, models, category)

classify_vowels(data, models)

`data`	Data frame with grouping columns used to generate models and F1,F2
`models`	Data frame with column `category` and list column 'model' (as generated by 'train_models').
`category`	Name of the column in `models` that has category labels

Data frame with one row per data x model combination, with likelihood in lhood, posterior probability in posterior. The model with the highest posterior for each token has TRUE in posterior_choice.