Ake (version 1.0.2)

print.reg.fun: Print for regression function

Description

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

Usage

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

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

Arguments

x

object of class reg.fun.

digits

The number of digits

...

Further arguments

Author

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

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.

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)