Hessian computation for fitted distance detection function model parameters
Computes hessian to be used for variance-covariance matrix. The hessian is the outer product of the vector of first partials (see pg 62 of Buckland et al 2002).
flt.var(ddfobj, misc.options)
ddfobj |
distance sampling object |
misc.options |
width-transect width (W); int.range-integration range for observations; showit-0 to 3 controls level of iteration printing; integral.numeric-if TRUE integral is computed numerically rather than analytically |
variance-covariance matrix of parameters in the detection function
This is an internal function used by ddf.ds to fit
distance sampling detection functions. It is not intended for the user to
invoke this function but it is documented here for completeness.
Jeff Laake
Buckland et al. 2002
Please choose more modern alternatives, such as Google Chrome or Mozilla Firefox.