marg: print.summary.marg – R documentation

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print.summary.marg

Use print() on a “summary.marg” object

Description

This is a method for the function print() for objects of class summary.marg. See print and print.default for the general behaviour of this function and for the interpretation of digits.

Usage

## S3 method for class 'summary.marg'
print(x, all = x$all, Coef = x$cf, int = x$int, test = x$hyp,
      digits = if(!is.null(x$digits)) x$digits else max(3, getOption("digits")-3),
      ...)
## S3 method for class 'summary.marg'
print(x, all, Coef, int, test, digits, ...)

Arguments

`x`	a `summary.marg` object. This is assumed to be the result returned by the `summary.marg` function.
`all`	if `TRUE` all the information stored in the `summary.marg` object is printed, else only a subset of it. The default is `FALSE`.
`Coef`	if `TRUE` all parameter estimates are printed. The default is `TRUE`.
`int`	if `TRUE` confidence intervals are printed. The default is `TRUE`.
`test`	if `TRUE` test statistics and tail probabilities are printed. The default is `FALSE`.
`digits`	the number of significant digits to be printed. The default depends on the value of `digits` set by `options`.
`...`	additional arguments.

Details

Changing the default values of all, Coef, int and test allows only a subset of the information in the summary.marg object to be printed. With all = FALSE, one-sided confidence intervals and the Lugannani-Rice tail area approximation are omitted. See summary.marg for more details.

Note

If the parameter of interest is the scale parameter, all calculations are performed on the log scale, though most results are reported on the original scale.

The amount of information printed may vary depending on whether there are any nuisance parameters. A message is printed if there are none.

Examples

## House Price Data
data(houses)
houses.rsm <- rsm(price ~ ., family = student(5), data = houses)
houses.cond <- cond(houses.rsm, front)
print(summary(houses.cond), digits = 4)
print(summary(houses.cond), Coef = FALSE)

marg

Approximate Marginal Inference for Regression-Scale Models

v1.2-2.1

GPL (>= 2) | file LICENCE

Authors

S original by Alessandra R. Brazzale <alessandra.brazzale@unipd.it>. R port by Alessandra R. Brazzale <alessandra.brazzale@unipd.it>, following earlier work by Douglas Bates.

Initial release

2014-03-31