Computes probability that a object was detected by at least one observer
(pdot
or p_.) for a logistic detection function that contains
distance.
pdot.dsr.integrate.logistic(
right,
width,
beta,
x,
integral.numeric,
BT,
models,
GAM = FALSE,
rem = FALSE,
point = FALSE
)
either an integration range for binned data (vector of 2) or the rightmost value for integration (from 0 to right)
transect width
parameters of logistic detection function
data matrix
set to TRUE
unless data are binned (done in
this fct) or the model is such that distance is not linear (eg distance^2),
If integral.numeric is FALSE
it will compute the integral
analytically. It should only be FALSE
if is.linear.logistic function
is TRUE
.
FALSE
except for the trial configuration; BT stands for
Buckland-Turnock who initially proposed a trial configuration for dual
observers
list of models including g0model
Not used at present. The idea was to be able to use a GAM for g(0) portion of detection function; should always be F
only TRUE
for the removal configuration but not used and
could be removed if pulled from the function calls. Originally thought the
pdot integral would differ but it is the same as the io formula. The only
thing that differs with removal is that p(2|1)=1. Observer 2 sees everything
seen by observer 1,
TRUE
for point transects
Jeff Laake