Details
Results are potentially complex and depend upon the analysis (see
below). Optional newdata
should be a dataframe with a column for
each of the variables in the model. If newdata
is missing then a
dataframe is constructed automatically. Default newdata
are for
a naive animal on the first occasion; numeric covariates are set to zero
and factor covariates to their base (first) level. Confidence intervals
are 100 (1 -- alpha) % intervals.
call |
the function call (optional) |
version,time |
secr version, and date and time fitting started |
|
Detector type
`single', `multi', `proximity' etc. |
Detector number |
number of detectors |
Average spacing |
|
x-range |
|
y-range |
|
N animals |
number of distinct animals detected |
N detections |
number of detections |
N occasions |
number of sampling occasions |
Mask area |
|
|
Model
model formula for each `real' parameter |
Fixed (real) |
fixed real parameters |
Detection fn |
detection function type (halfnormal or hazard-rate) |
N parameters |
number of parameters estimated |
Log likelihood |
log likelihood |
AIC |
Akaike's information criterion |
AICc |
AIC with small sample adjustment (Burnham and Anderson 2002) |
Beta parameters |
coef of the fitted model, SE and confidence intervals |
vcov |
variance-covariance matrix of beta parameters |
Real parameters |
fitted (real) parameters evaluated at base levels of covariates |
Derived parameters |
derived estimates of density and mean effective sampling area (optional) |
Derived parameters (see derived
) are computed only if
deriv = TRUE
.