Description Usage Arguments Details Value Author(s) See Also
This function generates random modelfit 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 centrallimit theorem is invoked.
1 2 3 4 5 6 7 
object 

CTMM 
A 
data 
Optional 
fast 
Whether or not to invoke the centrallimit 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 modelfit object is sampled from the centrallimit distribution, using the covariance estimates within CTMM
.
Strictly positive parametes, such as area, are logtransformed 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.
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