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.
|Author||James E. Pustejovsky, with contributions from Daniel M. Swan|
|Date of publication||2015-02-11 07:38:57|
|Maintainer||James E. Pustejovsky <firstname.lastname@example.org>|
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...
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...
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...
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...
prevalence_bounds: Prevalence bounds and confidence interval
r_behavior_stream: Generates random behavior streams
r_continuous_recording: Generates random samples of continuously recorded behavior...
reported_observations: Applies multiple recording procedures to a behavior stream
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