print.reg.fun {Ake}

Print for regression function

Description

The function allows to print the result of computation in regression as a data frame.

Usage

## S3 method for class 'reg.fun'
print(x, digits = NULL, ...)

Arguments

x

object of class reg.fun.

digits

The number of digits

...

Further arguments

Details

The associated kernel estimator \widehat{m}_n of m is defined in the above sections; see Kokonendji and Senga Kiessé (2011). The bandwidth parameter in the function is obtained using the cross-validation technique for the associated kernels.

Value

Returns a list containing:

data

The explanatory variable, printed as a data frame

y

The response variable, printed as a data frame

n

The size of the sample

kernel

The associated kernel

h

The smoothing parameter

eval.points

The grid where the regression is computed, printed as data frame

m_n

The estimated values, printed as data frame

Coef_det

The Coefficient of determination

Author(s)

W. E. Wansouwé, S. M. Somé and C. C. Kokonendji

References

Kokonendji, C.C. and Senga Kiessé, T. (2011). Discrete associated kernel method and extensions, Statistical Methodology 8, 497 - 516.

Kokonendji, C.C., Senga Kiessé, T. and Demétrio, C.G.B. (2009). Appropriate kernel regression on a count explanatory variable and applications, Advances and Applications in Statistics 12, 99 - 125.

Zougab, N., Adjabi, S. and Kokonendji, C.C. (2014). Bayesian approach in nonparametric count regression with Binomial Kernel, Communications in Statistics - Simulation and Computation 43, 1052 - 1063.

Examples

data(milk)
x=milk$week
y=milk$yield
##The bandwidth is the one obtained by cross validation.
h<-0.10
## We choose binomial kernel.
m_n<-reg.fun(x, y, "discrete",ker="bino", h)
print.reg.fun(m_n)