emulate.ctmm.Rd
This function generates random model-fit statistics from the sampling distribution of a given ctmm
movement model and sampling schedule.
If fast=FALSE
, the results are exact, though slow to evaluate.
Else if fast=TRUE
, the central-limit theorem is invoked.
emulate(object,...) # S3 method for ctmm emulate(object,data=NULL,fast=FALSE,...) # S3 method for telemetry emulate(object,CTMM,fast=FALSE,...)
object |
|
---|---|
CTMM | A |
data | Optional |
fast | Whether or not to invoke the central-limit theorem. |
... | Arguments passed to |
Given fast=FALSE
, which requires the data
argument specified, new data are simulated from the CTMM
movement model with the same sampling schedule and error structure as data
. A new model, of the same structure as CTMM
, is then fit to the simulated data and returned.
Given fast=TRUE
, a model-fit object is sampled from the central-limit distribution, using the covariance estimates within CTMM
.
Strictly positive parametes, such as area, are log-transformed prior to the normal approximation.
Note that this faster method does not adjust for bias.
A ctmm
movement model with the same structure as CTMM
.
C. H. Fleming.