mle.stepwise.summaries: Accessing summaries for mle.stepwise

In wle: Weighted Likelihood Estimation

Description

All these functions are methods for class mle.stepwise or summary.mle.stepwise.

Usage

## S3 method for class 'mle.stepwise'
summary(object, num.max=20, verbose=FALSE, ...)

## S3 method for class 'mle.stepwise'
print(x, digits = max(3, getOption("digits") - 3), num.max=max(1,nrow(x$step)), ...)

## S3 method for class 'summary.mle.stepwise'
print(x, digits = max(3, getOption("digits") - 3), ...)

Arguments

object	an object of class mle.stepwise.
x	an object of class mle.stepwise or summary.mle.stepwise.
digits	number of digits to be used for most numbers.
num.max	the number of the last iterations reported.
verbose	if TRUE warnings are printed.
...	additional arguments affecting the summary produced (in summary.mle.stepwise) or further arguments passed to or from other methods (in print.mle.stepwise and print.summary.mle.stepwise).

Value

The function summary.mle.stepwise returns the last num.max iterations, call plus:

step	the model for each iteration reported.
num.max	the number of iterations reported.
type	the type of selection procedure used.
f.in	the in value
f.out	the out value

Author(s)

Claudio Agostinelli

wle documentation built on May 29, 2017, 11:48 a.m.