summary.ldblm {dbstats}

Summarizing local distance-based linear model fits

Description

summary method for class "ldblm".

Usage

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

Arguments

object

an object of class ldblm. Result of ldblm.

...

arguments passed to or from other methods to the low level.

Value

A list of class summary.ldblm containing the following components:

nobs

number of observations.

r.squared

the coefficient of determination R2.

trace.hat

Trace of smoother matrix .

call

the matched call.

residuals

the residuals (the response minus fitted values).

family

the family object used.

kind.kernel

smoothing kernel function.

method.h

method used to decide the optimal bandwidth.

h.opt

the optimal bandwidth h used in the fitting proces (if method.h!=user.h).

crit.value

value of criterion defined in method.h.

Author(s)

Boj, Eva <[e-mail]>, Caballe, Adria <[e-mail]>, Delicado, Pedro <[e-mail]> and Fortiana, Josep <[e-mail]>

References

Boj E, Delicado P, Fortiana J (2010). Distance-based local linear regression for functional predictors. Computational Statistics and Data Analysis 54, 429-437.

Boj E, Grane A, Fortiana J, Claramunt MM (2007). Selection of predictors in distance-based regression. Communications in Statistics B - Simulation and Computation 36, 87-98.

Cuadras CM, Arenas C, Fortiana J (1996). Some computational aspects of a distance-based model for prediction. Communications in Statistics B - Simulation and Computation 25, 593-609.

Cuadras C, Arenas C (1990). A distance-based regression model for prediction with mixed data. Communications in Statistics A - Theory and Methods 19, 2261-2279.

Cuadras CM (1989). Distance analysis in discrimination and classification using both continuous and categorical variables. In: Y. Dodge (ed.), Statistical Data Analysis and Inference. Amsterdam, The Netherlands: North-Holland Publishing Co., pp. 459-473.

See Also

ldblm for local distance-based linear models.