flt.var

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).

utility

Animal abundance estimation via conventional, multiple covariate
and mark-recapture distance sampling (CDS/MCDS/MRDS). Detection function
fitting is performed via maximum likelihood. Also included are diagnostics
and plotting for fitted detection functions. Abundance estimation is via a
Horvitz-Thompson-like estimator.

Laura Marshall

mrds

Mark-Recapture Distance Sampling

flt.var function

<dl><dt>ddfobj</dt>
<dd>distance sampling object</dd>
<dt>misc.options</dt>
<dd>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</dd></dl>

Arguments

Author

Hessian computation for fitted distance detection function model parameters — flt.var

<dl>

<dt>ddfobj</dt>
<dd>distance sampling object</dd>


<dt>misc.options</dt>
<dd>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</dd>

</dl>

flt.var: Hessian computation for fitted distance detection function model parameters

Description

Usage

Value

Arguments

Author

References

See Also