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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:

• Exponential
• Gamma with fixed shape parameter
• Mixture of two gammas
• Weibull with fixed shape parameter
• Uniform(0,x)
• Constant (degenerate)

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

• continuous duration recording
• event counting
• momentary time sampling
• partial interval recording
• whole interval recording

These binaries (installable software) and packages are in development.
They may not be fully stable and should be used with caution. We make no claims about them.
Health stats visible at Monitor.