If simulations have been saved from
run.scenarios as fitted
secr models it is necessary to use one of these functions to extract
estimates for later summarization.
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fitted model simulation output from
other arguments passed to predict, coef, derived or region.N
These functions are used when output from
has been saved as fitted models.
require a full fit (including the design object) whereas a trimmed model
is sufficient for
derived.SL is used to compute the Horvitz-Thompson-like estimate
of density when
secr.fit has been used with
= TRUE; it is roughly equivalent to
regionN.SL predicts the realised number (R.N) or expected number
(E.N) in a masked area. When detector layouts and/or
the masked area will also vary (arbitrarily, depending on the buffer
argument ‘xsigma’) unless a mask is provided by the user; this may be
done either in
run.scenarios or in
An object with class (‘estimatetables’, ‘secrdesign’, ‘list’) with
appropriate outputtype (‘predicted’, ‘coef’, ‘derived’, ‘regionN’;
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## using nrepl = 2 just for checking scen1 <- make.scenarios(D = c(5,10), sigma = 25, g0 = 0.2) traps1 <- make.grid() ## default 6 x 6 grid of multi-catch traps tmp1 <- run.scenarios(nrepl = 2, trapset = traps1, scenarios = scen1, fit = TRUE, extractfn = trim) tmp2 <- predict(tmp1) tmp3 <- select.stats(tmp2, 'D', c('estimate','RB','RSE')) summary(tmp3)
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