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: | 1.2.0 |
| Imports: | stats |
| Suggests: | shiny, plyr, reshape2, dplyr, ggplot2, viridis, knitr, testthat |
| Published: | 2019-06-20 |
| 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 |
| Reference manual: | ARPobservation.pdf |
| Vignettes: |
Algorithms for direct observation recording |
| Package source: | ARPobservation_1.2.0.tar.gz |
| Windows binaries: | r-devel: ARPobservation_1.2.0.zip, r-release: ARPobservation_1.2.0.zip, r-oldrel: ARPobservation_1.2.0.zip |
| macOS binaries: | r-release: ARPobservation_1.2.0.tgz, r-oldrel: ARPobservation_1.2.0.tgz |
| Old sources: | ARPobservation archive |
Please use the canonical form https://CRAN.R-project.org/package=ARPobservation to link to this page.