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
ARPobservation_1.2.2.zip(r-4.7)ARPobservation_1.2.2.zip(r-4.6)ARPobservation_1.2.2.zip(r-4.5)
ARPobservation_1.2.2.tgz(r-4.6-any)ARPobservation_1.2.2.tgz(r-4.5-any)
ARPobservation_1.2.2.tar.gz(r-4.7-any)ARPobservation_1.2.2.tar.gz(r-4.6-any)
ARPobservation_1.2.2.tgz(r-4.6-emscripten)
manual.pdf |manual.html✨
DESCRIPTION |NEWS
card.svg |card.png
ARPobservation/json (API)

# Install 'ARPobservation' in R:

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

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

Datasets:

Dunlap - Dunlap et al.(1994) data
Moes - Moes(1998) data

On CRAN:

4.49 score 62 scripts 288 downloads 1 mentions 27 exports 0 dependencies

Last updated from:1b65da5f6e. Checks:9 OK. Indexed: yes.

Target	Result	Time
linux-devel-x86_64	OK	130
source / vignettes	OK	217
linux-release-x86_64	OK	123
macos-release-arm64	OK	99
macos-oldrel-arm64	OK	77
windows-devel	OK	88
windows-release	OK	93
windows-oldrel	OK	101
wasm-release	OK	100

Exports:ARPsimulator augmented_recording continuous_duration_recording eq_dist event_counting F_const F_exp F_gam F_gam_mix F_unif F_weib incidence_bounds interim_bounds interval_recording logRespRatio momentary_time_recording PIR_loglik PIR_MOM prevalence_bounds r_AIR r_behavior_stream r_continuous_recording r_event_counting r_MTS r_PIR r_WIR reported_observations

Dependencies:

Direct observation recording: Algorithms used in ARPobservation

Rendered fromObservation-algorithms.Rmdusingknitr::rmarkdown

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

Help page	Topics
ARPobservation	ARPobservation-package ARPobservation
An interactive alternating renewal process simulator	ARPsimulator
Applies augmented interval recording to a behavior stream	augmented_recording
Applies continuous duration recording to a behavior stream	continuous_duration_recording
Dunlap et al.(1994) data	Dunlap
Constructor for class 'eq_dist'	eq_dist
Applies event counting to a behavior stream	event_counting
Constant (degenerate) distribution and related equilibrium distribution	F_const
Exponential distribution and related equilibrium distribution	F_exp
Gamma distribution and related equilibrium distribution	F_gam
Mixture of two gamma distributions and related equilibrium distribution	F_gam_mix
Uniform distribution and related equilibrium distribution	F_unif
Weibull distribution and related equilibrium distribution	F_weib
Incidence bounds and confidence interval	incidence_bounds
Interim bounds and confidence interval	interim_bounds
Applies interval recording to a behavior stream	interval_recording
Calculate log-response ratio, variance, and confidence interval	logRespRatio
Moes(1998) data	Moes
Applies momentary time recording to a behavior stream	momentary_time_recording
Calculate log-likelihood	PIR_loglik
Moment estimator for prevalence and incidence, with bootstrap confidence intervals	PIR_MOM
Plot method for 'behavior_stream' objects	plot.behavior_stream
Prevalence bounds and confidence interval	prevalence_bounds
Generates random augmented interval recording behavior streams	r_AIR
Generates random behavior streams	r_behavior_stream
Generates random samples of continuously recorded behavior streams	r_continuous_recording
Generates random samples of event counts	r_event_counting
Generates random momentary time sampling behavior streams	r_MTS
Generates random partial interval recording behavior streams	r_PIR
Generates random whole interval recording behavior streams	r_WIR
Applies multiple recording procedures to a behavior stream	reported_observations

Package: ARPobservation 1.2.2

ARPobservation: Tools for Simulating Direct Behavioral Observation Recording Procedures Based on Alternating Renewal Processes

Citation

Development and contributors

Readme and manuals

Help Manual

Usage by other packages (reverse dependencies)