wiqid-class {wiqid}

The 'wiqid' S3 class

Description

All the maximum likelihood functions in the wiqid package should produce an object of class wiqid. Bayesian estimation runs produce objects of class Bwiqid.

Structure

A wiqid object is a list with the following elements:

call

The call used to produce the results

link

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.

beta

A matrix of values of the coefficients of the terms in the linear predictors, with standard errors and confidence intervals.

beta.vcv

The variance-covariance matrix for the beta estimates.

real

Estimates of occupancy and probability of detection on the real scale, with confidence intervals.

logLik

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.

ci

intended coverage of the confidence intervals.

formulae

a named list with the formulae of each of the submodels.

index

a named list indicating which rows of the beta and beta.vcv matrices correspond to each submodel.

xlev

a named list of factors included in the original data object with their levels.

scaling

a named list of numerical covariates included in the original data object with the values used to standardise them, c(centre, spread).

Methods

The following methods are available for objects of class wiqid:

print, logLik, nobs, coef, vcov, predict.wiqid.