ARPobservation: 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.

Version: 1.0
Suggests: plyr, ggplot2, knitr
Published: 2014-05-30
Author: James E. Pustejovsky
Maintainer: James E. Pustejovsky <jepusto at gmail.com>
License: GPL-3
NeedsCompilation: no
Citation: ARPobservation citation info
Materials: README NEWS
CRAN checks: ARPobservation results

Downloads:

Reference manual: ARPobservation.pdf
Vignettes: Algorithms for direct observation recording
Package source: ARPobservation_1.0.tar.gz
Windows binaries: r-devel: ARPobservation_1.0.zip, r-release: ARPobservation_1.0.zip, r-oldrel: ARPobservation_1.0.zip
OS X Snow Leopard binaries: r-release: ARPobservation_1.0.tgz, r-oldrel: ARPobservation_1.0.tgz
OS X Mavericks binaries: r-release: ARPobservation_1.0.tgz