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:	1.2.1
Imports:	stats
Suggests:	shiny, plyr, reshape2, dplyr, ggplot2, viridis, knitr, rmarkdown, testthat
Published:	2021-04-30
Author:	James E. Pustejovsky, with contributions from Daniel M. Swan
Maintainer:	James E. Pustejovsky <jepusto at gmail.com>
License:	GPL-3
NeedsCompilation:	no
Language:	en-US
Citation:	ARPobservation citation info
Materials:	README NEWS
CRAN checks:	ARPobservation results

Documentation:

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

Downloads:

Package source:	ARPobservation_1.2.1.tar.gz
Windows binaries:	r-devel: ARPobservation_1.2.1.zip, r-release: ARPobservation_1.2.1.zip, r-oldrel: ARPobservation_1.2.1.zip
macOS binaries:	r-release (arm64): ARPobservation_1.2.1.tgz, r-oldrel (arm64): ARPobservation_1.2.1.tgz, r-release (x86_64): ARPobservation_1.2.1.tgz, r-oldrel (x86_64): ARPobservation_1.2.1.tgz
Old sources:	ARPobservation archive

Linking:

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