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".

Directions of Recession

This function may give an error message "cannot compute standard errors, apparent directions of recession". There are two reasons why this can happen.

See Also

aster, summary.


[Package aster version 1.1-2 Index]