ARPobservation: 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, whole interval recording, and augmented interval recording.

Version: 1.2.2
Imports: stats
Suggests: shiny, plyr, reshape2, dplyr, ggplot2, viridis, knitr, rmarkdown, testthat
Published: 2023-08-25
DOI: 10.32614/CRAN.package.ARPobservation
Author: James E. Pustejovsky, with contributions from Daniel M. Swan
Maintainer: James E. Pustejovsky <jepusto at>
License: GPL-3
NeedsCompilation: no
Language: en-US
Citation: ARPobservation citation info
Materials: README NEWS
CRAN checks: ARPobservation results


Reference manual: ARPobservation.pdf
Vignettes: Algorithms for direct observation recording


Package source: ARPobservation_1.2.2.tar.gz
Windows binaries: r-devel:, r-release:, r-oldrel:
macOS binaries: r-release (arm64): ARPobservation_1.2.2.tgz, r-oldrel (arm64): ARPobservation_1.2.2.tgz, r-release (x86_64): ARPobservation_1.2.2.tgz, r-oldrel (x86_64): ARPobservation_1.2.2.tgz
Old sources: ARPobservation archive


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