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.


ARPobservation provides a set of tools for simulating the sort of data generated during direct observation of a behavior over time. It works by first simulating a behavior stream based on an alternating renewal process, given specified distributions of event durations and interim times. The following distributions are currently supported:

  • Exponential
  • Gamma with fixed shape parameter
  • Mixture of two gammas
  • Weibull with fixed shape parameter
  • Uniform(0,x)
  • Constant (degenerate)

Different methods of 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
  • whole interval recording

News

ARPobservation 1.1

  • Added utility functions for directly simulating MTS, PIR, and WIR data.
  • Added log-response ratio effect size estimators.
  • Added various estimators for summarized PIR data.
  • Added study_planning demo

ARPobservation 1.0

  • First version released on CRAN.

Reference manual

It appears you don't have a PDF plugin for this browser. You can click here to download the reference manual.

install.packages("ARPobservation")

1.1 by James E. Pustejovsky, 3 years ago


Browse source code at https://github.com/cran/ARPobservation


Authors: James E. Pustejovsky, with contributions from Daniel M. Swan


Documentation:   PDF Manual  


GPL-3 license


Suggests plyr, reshape2, ggplot2, knitr, testthat


See at CRAN