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

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Documentation for package ‘ARPobservation’ version 1.2.2

• DESCRIPTION file.
• User guides, package vignettes and other documentation.
• Code demos. Use demo() to run them.
• Package NEWS.

Help Pages

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