Quail is a Python package that facilitates analyses of behavioral data from memory experiments. (The current focus is on free recall experiments.) Key features include:
- Serial position curves (probability of recalling items presented at each presentation position)
- Probability of Nth recall curves (probability of recalling items at each presentation position as the Nth recall in the recall sequence)
- Lag-Conditional Response Probability curves (probability of transitioning between items in the recall sequence, as a function of their relative presentation positions)
- Clustering metrics (e.g. single-number summaries of how often participants transition from recalling a word to another related word, where "related" can be user-defined.)
- Many nice plotting functions
- Convenience functions for loading in data
- Automatically parse speech data (audio files) using wrappers for the Google Cloud Speech to Text API
The intended user of this toolbox is a memory researcher who seeks an easy way to analyze and visualize data from free recall psychology experiments.
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