kernel.function.gauss: Gaussian kernel
In cvmgof: Cramer-von Mises Goodness-of-Fit Tests
Description
Usage
Arguments
Author(s)
References
Examples
Description
This function computes the Gaussian kernel used to estimate the conditional distribution function.
Usage
1
Arguments
u
a numeric vector.
Author(s)
Romain Azais, Sandie Ferrigno and Marie-Jose Martinez
References
J. Fan and I. Gijbels. Local polynomial modelling and its applications. Chapman & Hall,
London, 1996.
Examples
1
2
x = runif(10) #simulating a uniform random sample
kernel.function.gauss(x)
cvmgof documentation built on Jan. 16, 2021, 5:40 p.m.
R Package Documentation
Browse R Packages
We want your feedback!
Note that we can't provide technical support on individual packages. You should contact the package authors for that.
Description Usage Arguments Author(s) References Examples
Description
This function computes the Gaussian kernel used to estimate the conditional distribution function.
Usage
1 |
Arguments
u |
a numeric vector. |
Author(s)
Romain Azais, Sandie Ferrigno and Marie-Jose Martinez
References
J. Fan and I. Gijbels. Local polynomial modelling and its applications. Chapman & Hall, London, 1996.
Examples
1 2 | x = runif(10) #simulating a uniform random sample
kernel.function.gauss(x)
|
R Package Documentation
Browse R Packages
We want your feedback!
Note that we can't provide technical support on individual packages. You should contact the package authors for that.
Embedding an R snippet on your website
Add the following code to your website.
For more information on customizing the embed code, read Embedding Snippets.