Conakereport {Conake}R Documentation

A brief summary of the results

Description

For a sample, the function gives automatically the result of computations of the normalizing constant and the smoothing parameter. One can then plot the histogram.

Usage

Conakereport(Vec, ker, h = NULL, a = 0, b = 1)

Arguments

Vec

The sample of data.

ker

The kernel function:

h

The bandwidth or smoothing parameter.

a

The left bound of the support used for extended beta kernel. Default value is 0 for beta kernel.

b

The right bound of the support used for extended beta kernel. Default value is 1 for beta kernel.

Value

Returns a list containing:

h_n

The bandwith parameter used to compute f_n

C_n

The normalizing constant

Author(s)

W. E. Wansouwé, F.G. Libengué and C. C. Kokonendji

References

Libengué, F.G. (2013). Méthode Non-Paramétrique par Noyaux Associés Mixtes et Applications, Ph.D. Thesis Manuscript (in French) to Université de Franche-Comté, Besançon, France and Université de Ouagadougou, Burkina Faso, June 2013, LMB no. 14334, Besançon.

Examples

## Data can be simulated data or real data
## We use simulate data  
Vec<-rgamma(100,1.5,2.6)
## Not run: 
Conakereport(V,ker="GA")

## End(Not run)


[Package Conake version 1.0 Index]