All the maximum likelihood functions in the wiqid package should produce an object of class wiqid. Bayesian estimation runs produce objects of class Bwiqid.
A wiqid object is a list with the following elements:
The call used to produce the results
Either a named list with the link functions used, or a single value if the same link is used for all parameters. For probabilities, usually logit or probit.
A matrix of values of the coefficients of the terms in the linear predictors, with standard errors and confidence intervals.
The variance-covariance matrix for the beta estimates.
Estimates of occupancy and probability of detection on the real scale, with confidence intervals.
a vector with elements for log(likelihood), number of parameters, and effective sample size. If the variance-covariance matrix cannot be calculated, the second element should be NA.
intended coverage of the confidence intervals.
a named list with the formulae of each of the submodels.
a named list indicating which rows of the beta and beta.vcv matrices correspond to each submodel.
a named list of factors included in the original data object with their levels.
a named list of numerical covariates included in the original data object with the values used to standardise them, c(centre, spread).