summary.spm {SemiPar}

Semiparametric regression summary

Description

Takes a fitted spm object produced by spm() and summarises the fit.

Usage

## S3 method for class 'spm'
summary(object,...)

Arguments

object

a fitted spm object as produced by spm().

...

other arguments.

Details

Produces tables for the linear (parametric) and non-linear (nonparametric) components. The linear table provides coefficient estimates, standard errors and p-values. The non-linear table provides degrees of freedom values and other information.

Value

The function generates summary tables.

Author(s)

M.P. Wand [e-mail] (other contributors listed in SemiPar Users' Manual).

References

Ruppert, D., Wand, M.P. and Carroll, R.J. (2003)
Semiparametric Regression Cambridge University Press.
http://stat.tamu.edu/~carroll/semiregbook/

Ganguli, B. and Wand, M.P. (2005)
SemiPar 1.0 Users' Manual.
http://matt-wand.utsacademics.info/SPmanu.pdf

See Also

spm plot.spm predict.spm

Examples

library(SemiPar)
data(onions)
attach(onions)
log.yield <- log(yield)
fit <- spm(log.yield~location+f(dens))
summary(fit)