an object of class
if set to TRUE prints the matrix of covariances between parameters estimates. The default is FALSE.
if set to TRUE prints the matrix of correlations between parameters estimates. The default is FALSE.
Computes and returns a list of summary statistics of the fitted linear model given a
using the components (list elements) "call" and "terms" from its argument, plus
depending on the structure of the dependence model chosen, the table for the estimates of coefficients will appear
log.psi1 if the dependence structure of the process corresponds to a first-order
Markov chain, or both
log.psi2 if the dependence structure of the process corresponds
to a second-order Markov chain.
log.psi1 is the log-odds ratio between adjacent observations and
log.psi2 is the logarithm of conditional odds ratio for observations separated by one time point.
If the structure of the dependence model chosen includes the random intercept (models "
MC1R" and "
the estimate of the random effect (
omega) will also appear where ω=log(ω^2).
signature(object = "ANY"):
signature(object = "bild"):
Prints a summary as an object of class
containing information about the matched call to
bild, the number of profiles in the data,
the number of profiles used in the fit, the log-likelihood, the AIC,
a table with estimates, asymptotic SE, t-values and p-values,
the estimated correlation and variance-covariance matrix for the estimated parameters if the user wishes,
and a message giving additional information returned by the optimizer.
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