Description Usage Arguments Details Value See Also Examples
Compute spatially explicit net probability of detection for individual(s) at given coordinates.
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X 
vector or 2column matrix of coordinates 
traps 

detectfn 
integer code for detection function q.v. 
detectpar 
a list giving a value for each named parameter of detection function 
noccasions 
number of sampling intervals (occasions) 
binomN 
integer code for discrete distribution (see

userdist 
userdefined distance function or matrix (see userdist) 
If traps
has a usage attribute then noccasions
is
set accordingly; otherwise it must be provided.
The probability computed is p.(X) = 1  (1  prod(p_s(X,k))^S where
the product is over the detectors in traps
, excluding any not
used on a particular occasion. The peroccasion detection function
p_s is halfnormal (0) by default, and is assumed not to vary
over the S occasions.
For detection functions (10) and (11) the signal threshold ‘cutval’ should be
included in detectpar
, e.g., detectpar = list(beta0 = 103, beta1
= 0.11, sdS = 2, cutval = 52.5)
.
The calculation is not valid for singlecatch traps because p.(X) is reduced by competition between animals.
userdist
cannot be set if ‘traps’ is any of polygon, polygonX,
transect or transectX. if userdist
is a function requiring
covariates or values of parameters ‘D’ or ‘noneuc’ then X
must
have a covariates attribute with the required columns.
A vector of probabilities, one for each row in X.
secr
, make.mask
,
Detection functions
, pdot.contour
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