# kernel.function.gauss

From cvmgof v1.0.0
by

##### Gaussian kernel

This function computes the Gaussian kernel used to estimate the conditional distribution function.

##### Usage

`kernel.function.gauss(u)`

##### Arguments

- u
a numeric vector.

##### References

J. Fan and I. Gijbels. Local polynomial modelling and its applications. *Chapman & Hall*,
London, 1996.

##### Examples

```
# NOT RUN {
x = runif(10) #simulating a uniform random sample
kernel.function.gauss(x)
# }
```

*Documentation reproduced from package cvmgof, version 1.0.0, License: CeCILL*

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