Conake (version 1.0.1)

Conakereport: 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

References

Libengu<U+00E9>, F.G. (2013). M<U+00E9>thode Non-Param<U+00E9>trique par Noyaux Associ<U+00E9>s Mixtes et Applications, Ph.D. Thesis Manuscript (in French) to Universit<U+00E9> de Franche-Comt<U+00E9>, Besan<U+00E7>on, France and Universit<U+00E9> de Ouagadougou, Burkina Faso, June 2013, LMB no. 14334, Besan<U+00E7>on.

Examples

# NOT RUN {
## 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")
# }
# NOT RUN {
# }