These functions are all methods for class aster or
summary.aster objects.
# S3 method for aster
summary(object, info = c("expected", "observed"),
info.tol = sqrt(.Machine$double.eps), show.graph = FALSE, …)# S3 method for summary.aster
print(x, digits = max(3, getOption("digits") - 3),
signif.stars = getOption("show.signif.stars"), …)
an object of class "aster", usually, a result of a
call to aster.
the type of Fisher information use to compute standard errors.
tolerance for eigenvalues of Fisher information.
If eval is the vector of eigenvalues of the information matrix,
then eval < cond.tol * max(eval) are considered zero. Hence the
corresponding eigenvectors are directions of constancy or recession of
the log likelihood.
if TRUE, show the graphical model.
an object of class "summary.aster", usually, a result of a
call to summary.aster.
the number of significant digits to use when printing.
logical. If TRUE, “significance stars”
are printed for each coefficient.
further arguments passed to or from other methods.
summary.aster returns an object of class "summary.aster"
list with the same components as object, which is of class
"aster".