simrem: Simulate zero-truncated recurrent events data

In thomashusken/trem: Introduces models to estimate the size of elusive populations from single-source capture-recapture data.

Description

simrem simulates zero-truncated events data and returns a 3D-array

Usage

simrem(N = 5000, time = 365, b0 = -7, bpers = NULL, bage = NULL,
  cyc = F, alpha = NULL, theta = NULL, period = time, int = F,
  aint = NULL, tint = NULL, ...)

Arguments

N	the total (non-truncated) population size
time	the observation window
b0	the intercept, default value is -7
bpers	coefficients for time-invariant covariates. The data is simulated as ~ B(0.5)
bage	coefficients for time-varying dummy variables.
cyc	logical, whether cyclical predictors are added to the data. Default is FALSE
alpha	the amplitude of the cyclical effect. Only used when cyc is TRUE
theta	the phase of the cyclical effect. Only used when cyc is TRUE
period	the period of the cyclical effect, defaults to time
int	specify whether an interaction between the cyclical effect and the first variable of bpers should be included
aint	the amplitude of the cyclical interaction effect
tint	the phase of the cyclical interaction effect
...	Further arguments to be passed from or to other methods

Value

a 3D-array of dimensions n x time x variables. Note that n will vary over each simulation due to sampling fluctuation by drawing from the total population N

thomashusken/trem documentation built on May 31, 2019, 10:47 a.m.