| procfun_ct {pttstability} | R Documentation |
continuous-time process noise function
Description
Simulates effects of process noise following a Gaussian perturbation. Note that process noise only influences positive abundances (i.e. process noise cannot contribute to colonization)
Usage
procfun_ct(sp, xt, waiting_time = 1, time = NULL)
Arguments
sp |
a numeric vector of length two or three, where terms 1-2 specify either the log-transformed standard deviation of the process noise function, or an intercept and slope for calculating variance of process noise based on a power function of x, of the form var=exp(B0)*x^exp(B1) The final term in the vector represents the recovery rate - i.e. the continuous time rate at which abundances recover from perturbation |
xt |
a number or numeric vector of abundances at time t, before process noise has occurred |
waiting_time |
average time between disturbance events: defaults to 1 |
time |
the timestep - defaults to NULL (i.e. not used) |
Value
a number or numeric vector of length xt, with predicted abundances after process noise has occurred