Check out and compare estimated roots of the quasi-score vector
object of class
list or matrix of estimated parameters as roots of the quasi-score vector
list of upper bounds for a root of the quasi-score vector, see details
Only for the quasi-likelihood approach the function inspects the (numerical) consistency of the found
parameters in '
par' by comparing each observed quasi-information matrix with the expected one.
The degree of dissimilarity of both matrices is measured by certain scalar equivalent criteria (see vignette)
and the parameter for which these are smallest is chosen. The numerical upper bounds to determine a root of the quasi-score
are as follows: '
ftol_stop' for the quasi-deviance criterion value and '
score_tol' for the maximum of any of
the components of the quasi-score vector.
A data frame with columns named corresponding to each component of the investigated parameter,
trace' and '
score_max' (see vignette). The second column shows the leading minor of
the observed QI matrix which is not positive definite. If so, then the corresponding parameter estimate
cannot be consistent at least in theory. The rows show the corresponding values for each parameter passed by
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