summary.fregre.gkam: Summarizes information from fregre.gkam objects.

In fda.usc: Functional Data Analysis and Utilities for Statistical Computing

Summarizes information from fregre.gkam objects.

Description

Summary function for fregre.gkam function.

	-Family used.
	-Number or iteration of algorithm and if it has converged.
	-Residual and null deviance.
	-Number of data.

Produces a list of summary information for a fitted fregre.np object for each functional covariate.

	-Call.
	-R squared.
	-Residual variance.
	-Index of possible atypical curves or possible outliers.
	-Index of possible influence curves.

If draw=TRUE plot:

	-y vs y fitted values.
	-Residuals vs fitted values.
	-Residual boxplot.
	-Quantile-Quantile Plot (qqnorm).
	-Plot for a each single model term.

If ask=FALSE draw graphs in one window, by default. If ask=TRUE, draw each graph in a window, waiting to confirm.

Usage

## S3 method for class 'fregre.gkam'
summary(object, draw = TRUE, selec = NULL, times.influ = 3, ...)

Arguments

object	Estimated by functional regression, fregre.fd object.
draw	=TRUE draw estimation and residuals graphics.
selec	Allows the plot for a single model term to be selected for printing. e.g. if you just want the plot for the second smooth term set selec=2. .
times.influ	Limit for detect possible infuence curves.
...	Further arguments passed to or from other methods.

Author(s)

Manuel Febrero-Bande and Manuel Oviedo de la Fuente [e-mail]

See Also

Summary function for fregre.gkam.

Examples

## Not run: 
# Time consuming
data(tecator)
ind<-1:129
ab=tecator$absorp.fdata[ind]
ab2=fdata.deriv(ab,2)
yfat=as.integer(cut(tecator$y[ind,"Fat"],c(0,15,100)))-1
xlist=list("df"=data.frame(yfat),"ab2"=ab2,"ab"=ab)
f<-yfat~ab+ab2
res=fregre.gkam(f, data = xlist, family = binomial("logit"),
                control = list(maxit = 2))
summary(res)


## End(Not run)

fda.usc documentation built on April 4, 2025, 4:35 a.m.