| distance |
| Vector of distances
used in the analysis. |
| likelihood |
| Value of the
log-likelihood at the maxima. |
| pars |
Parmeter
estimates. See mmds.pars for more
information. |
| mix.terms |
| Number of mixture terms
fit. |
| width |
| Truncation distance used. |
| z |
List containing the matrix of covariates used. Output
from model.matrix. |
| zdim |
Number of
columns of z. See mmds.pars for more
information. |
| hessian |
| Hessian matrix at the
maxima. |
| pt |
| Logical indicating whether the data
were from a point transect survey. |
| data |
| Data
frame after truncation. |
| ftype |
| Type of detection
function. |
| ctrl.options |
Options passed to
optim. |
| showit |
| Debug level. |
|
opt.method |
| Optimisation method used. |
| usegrad |
|
Were analytic gradients used? |
| model.formula |
| Model
formula. |
| mu |
| Per-observation effective trip
width/effective area of detection. |
| pa.vec |
| Vector
of per-observation detectabilities. |
| N |
| Estimate of
N in the covered area (Horvitz-Thompson). |
| pa |
|
Average detectability. |
| pars.se |
| Standard errors of
the parameters. |
| N.se |
| Standard error of the
Horvitz-Thompson estimate of the abundance. |
| pa.se |
|
Standard error of the average detectability. |
| aic |
|
AIC of the fitted model. |
| cvm |
Cramer-von Mises GoF
test results. List containing: p, the p-value and
W, the test statistic. |
| ks |
Kolmogorov-Smirnov test results. List containing:
p, the p-value and Dn, the test statistic.
See mmds.gof for more information. |