| 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)