plot.fwdsco {forward}

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)