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ARPobservation provides a set of tools for simulating the sort of data generated during direct observation of a behavior over time. It works by first simulating a behavior stream based on an alternating renewal process, given specified distributions of event durations and interim times. The following distributions are currently supported:

Different methods of recording data can then be applied to the simulated behavior stream. Functions are provided for the following recording methods:

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ARPobservation documentation built on Aug. 25, 2023, 5:19 p.m.