Tools for simulating different methods of observing behavior
based on alternating renewal processes
ARPobservation provides a set of tools for simulating data based
on direct observation of behavior. It works by first simulating a behavior
stream based on an alternating renewal process, given specified
distributions of event durations and interim times. Different procedures for
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, and whole interval recording.

Tools for Simulating Direct Behavioral Observation Recording
Procedures Based on Alternating Renewal Processes
Tools for simulating data generated by direct observation
recording. Behavior streams are simulated based on an alternating renewal
process, given specified distributions of event durations and interim
times. Different procedures for recording data can then be applied to the
simulated behavior streams. Functions are provided for the following
recording methods: continuous duration recording, event counting, momentary
time sampling, partial interval recording, and whole interval recording.
James E. Pustejovsky, with contributions from Daniel M. Swan
plyr, reshape2, ggplot2, knitr, testthat

Tools for simulating data generated by direct observation
recording. Behavior streams are simulated based on an alternating renewal
process, given specified distributions of event durations and interim
times. Different procedures for recording data can then be applied to the
simulated behavior streams. Functions are provided for the following
recording methods: continuous duration recording, event counting, momentary
time sampling, partial interval recording, whole interval recording, and
augmented interval recording.
shiny, plyr, reshape2, dplyr, ggplot2, viridis, knitr,
testthat

shiny, plyr, reshape2, dplyr, ggplot2, viridis, knitr,
rmarkdown, testthat