plot.fwdsco: Forward Search Transformation in Linear Regression

In forward: Robust Analysis using Forward Search

Forward Search Transformation in Linear Regression

Description

This function plots the results of a forward search analysis for Box-Cox transformation of response in linear regression models.

Usage

## S3 method for class 'fwdsco'
plot(x, plot.Sco = TRUE, plot.Lik = FALSE, th.Sco = 2.58, 
      plot.mle = TRUE, ylim = NULL, xlim = NULL, ...)

Arguments

x	a "fwdsco" object.
plot.Sco	logical, if TRUE plots the score test statistic at each step of the forward search for each lambda value.
plot.Lik	logical, if TRUE plots the likelihood value at each step of the forward search for each lambda value.
th.Sco	numerical, a value used to draw the confidence interval on the plot of the score test statistic.
plot.mle	logical, if TRUE adds a point at the maximum likelihood value for the transformation computed in the final step, i.e. on the full dataset.
ylim	a two component vector for the min and max of the y axis.
xlim	a two component vector for the min and max of the x axis.
...	further arguments passed to or from other methods.

Author(s)

Originally written for S-Plus by: Kjell Konis [e-mail] and Marco Riani [e-mail]
Ported to R by Luca Scrucca [e-mail]

References

Atkinson, A.C. and Riani, M. (2000), Robust Diagnostic Regression Analysis, First Edition. New York: Springer, Chapters 2-3.

See Also

fwdsco, fwdlm, fwdglm.

Examples

## Not run: 
data(wool)
mod <- fwdsco(y ~ x1 + x2 + x3, data = wool)
plot(mod, plot.mle=FALSE)
plot(mod, plot.Sco=FALSE, plot.Lik=TRUE)

## End(Not run)

forward documentation built on Sept. 27, 2024, 5:09 p.m.