summary.aster {aster}R Documentation

Summarizing Aster Model Fits

Description

These functions are all methods for class aster or summary.aster objects.

Usage

## S3 method for class 'aster':
summary(object, info = c("expected", "observed"),
    info.tol = sqrt(.Machine$double.eps),  show.graph = FALSE, ...)

## S3 method for class 'summary.aster':
print(x, digits = max(3, getOption("digits") - 3),
      signif.stars = getOption("show.signif.stars"), ...)

Arguments

object an object of class "aster", usually, a result of a call to aster.
info the type of Fisher information use to compute standard errors.
info.tol 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.
show.graph if TRUE, show the graphical model.
x an object of class "summary.aster", usually, a result of a call to summary.aster.
digits the number of significant digits to use when printing.
signif.stars logical. If TRUE, “significance stars” are printed for each coefficient.
... further arguments passed to or from other methods.

Value

summary.aster returns an object of class "summary.aster" list with the same components as object, which is of class "aster".

See Also

aster, summary.


[Package aster version 0.7-7 Index]