Package: ARPobservation 1.2.2

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.

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

ARPobservation_1.2.2.tar.gz
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ARPobservation_1.2.2.tgz(r-4.4-any)ARPobservation_1.2.2.tgz(r-4.3-any)
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ARPobservation.pdf |ARPobservation.html✨
ARPobservation/json (API)
NEWS

# Install 'ARPobservation' in R:
install.packages('ARPobservation', repos = c('https://jepusto.r-universe.dev', 'https://cloud.r-project.org'))

Peer review:

Bug tracker:https://github.com/jepusto/arpobservation/issues

Datasets:
  • Dunlap - Dunlap et al.(1994) data
  • Moes - Moes(1998) data

On CRAN:

27 exports 1.02 score 0 dependencies 1 mentions 51 scripts 277 downloads

Last updated 1 years agofrom:1b65da5f6e. Checks:OK: 7. Indexed: yes.

TargetResultDate
Doc / VignettesOKSep 18 2024
R-4.5-winOKSep 18 2024
R-4.5-linuxOKSep 18 2024
R-4.4-winOKSep 18 2024
R-4.4-macOKSep 18 2024
R-4.3-winOKSep 18 2024
R-4.3-macOKSep 18 2024

Exports:ARPsimulatoraugmented_recordingcontinuous_duration_recordingeq_distevent_countingF_constF_expF_gamF_gam_mixF_unifF_weibincidence_boundsinterim_boundsinterval_recordinglogRespRatiomomentary_time_recordingPIR_loglikPIR_MOMprevalence_boundsr_AIRr_behavior_streamr_continuous_recordingr_event_countingr_MTSr_PIRr_WIRreported_observations

Dependencies:

Direct observation recording: Algorithms used in ARPobservation

James E. Pustejovsky

Rendered fromObservation-algorithms.Rmdusingknitr::rmarkdownon Sep 18 2024.

Last update: 2019-06-20
Started: 2019-06-20

Readme and manuals

Help Manual

Help pageTopics
ARPobservationARPobservation-package ARPobservation
An interactive alternating renewal process simulatorARPsimulator
Applies augmented interval recording to a behavior streamaugmented_recording
Applies continuous duration recording to a behavior streamcontinuous_duration_recording
Dunlap et al.(1994) dataDunlap
Constructor for class 'eq_dist'eq_dist
Applies event counting to a behavior streamevent_counting
Constant (degenerate) distribution and related equilibrium distributionF_const
Exponential distribution and related equilibrium distributionF_exp
Gamma distribution and related equilibrium distributionF_gam
Mixture of two gamma distributions and related equilibrium distributionF_gam_mix
Uniform distribution and related equilibrium distributionF_unif
Weibull distribution and related equilibrium distributionF_weib
Incidence bounds and confidence intervalincidence_bounds
Interim bounds and confidence intervalinterim_bounds
Applies interval recording to a behavior streaminterval_recording
Calculate log-response ratio, variance, and confidence intervallogRespRatio
Moes(1998) dataMoes
Applies momentary time recording to a behavior streammomentary_time_recording
Calculate log-likelihoodPIR_loglik
Moment estimator for prevalence and incidence, with bootstrap confidence intervalsPIR_MOM
Plot method for 'behavior_stream' objectsplot.behavior_stream
Prevalence bounds and confidence intervalprevalence_bounds
Generates random augmented interval recording behavior streamsr_AIR
Generates random behavior streamsr_behavior_stream
Generates random samples of continuously recorded behavior streamsr_continuous_recording
Generates random samples of event countsr_event_counting
Generates random momentary time sampling behavior streamsr_MTS
Generates random partial interval recording behavior streamsr_PIR
Generates random whole interval recording behavior streamsr_WIR
Applies multiple recording procedures to a behavior streamreported_observations