print.reg.fun: Print for regression function In Ake: Associated Kernel Estimations

Description

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

Usage

 1 2 ## 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

 1 2 3 4 5 6 7 8 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)

Ake documentation built on May 2, 2019, 8:20 a.m.