summary.polyclass: Polyclass: polychotomous regression and multiple...

In polspline: Polynomial Spline Routines

Polyclass: polychotomous regression and multiple classification

Description

This function summarizes both the stepwise selection process of the model fitting by polyclass, as well as the final model that was selected

Usage

## S3 method for class 'polyclass'
summary(object, ...) 
## S3 method for class 'polyclass'
print(x, ...) 

Arguments

object, x	polyclass object, typically the result of polyclass.
...	other arguments are ignored.

Value

These function summarize a polyclass fit identically. They also give information about fits that could have been obtained with other model selection options in polyclass.

Author(s)

Charles Kooperberg [e-mail].

References

Charles Kooperberg, Smarajit Bose, and Charles J. Stone (1997). Polychotomous regression. Journal of the American Statistical Association, 92, 117–127.

Charles J. Stone, Mark Hansen, Charles Kooperberg, and Young K. Truong. The use of polynomial splines and their tensor products in extended linear modeling (with discussion) (1997). Annals of Statistics, 25, 1371–1470.

See Also

polyclass, plot.polyclass, beta.polyclass, cpolyclass, ppolyclass, rpolyclass.

Examples

data(iris)
fit.iris <- polyclass(iris[,5], iris[,1:4])
summary(fit.iris)

polspline documentation built on May 29, 2024, 3:38 a.m.