# mseLap

From AsyK v1.5.4
by Javaria Khan

##### Calculate Mean Squared Error( MSE) when Laplace Kernel is used.

Calculate MSE by using Laplace Kernel.

##### Usage

`mseLap(y, k, h, type)`

##### Arguments

- y
a numeric vector of positive values.

- k
gird points.

- h
the bandwidth

- type
mention distribution of vector.If exponential distribution then use "Exp". if use gamma distribution then use "Gamma".If Weibull distribution then use "Weibull".

##### Value

Mean Squared Error

##### References

Khan, J. A.; Akbar, A. Density Estimation by Laplace Kernel. *Working paper, Department of Statistics, Bahauddin Zakariya University, Multan, Pakistan.*

##### See Also

For further MSE by using RIG kernel see `mseRIG`

. For density estimation by using Laplace Kernel `plot.Laplace`

and for estimated values
of density `Laplace`

.

##### Examples

```
# NOT RUN {
y<-rexp(100,1)
h<-0.79 * IQR(y) * length(y) ^ (-1/5)
mseLap(y, 200, h, "Exp")
# }
```

*Documentation reproduced from package AsyK, version 1.5.4, License: GPL-2*

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