R: Sheather-Jones choice of smoothing parameter for density...

hsj {sm} | R Documentation

## Sheather-Jones choice of smoothing parameter for density estimation

### Description

This function uses the Sheather-Jones plug-in method of selecting a smoothing parameter which is suitable for constructing a density estimate in the one-dimensional case.

### Usage

    hsj(x)

### Arguments

`x` | a vector of data.

### Details

See Section 2.4.4 of the reference below.

### Value

the value of the smoothing parameter located by the Sheather-Jones method.

### Note

As from version 2.1 of the package, a similar effect can be obtained with the new function `h.select`, via `h.select(x, method="sj")`. Users are encouraged to adopt this route, since `hsj` might be not accessible directly in future releases of the package.

### References

Bowman, A.W. and Azzalini, A. (1997). Applied Smoothing Techniques for Data Analysis: the Kernel Approach with S-Plus Illustrations. Oxford University Press, Oxford.

### See Also

`h.select`, `hnorm`, `hcv`

### Examples

    x <- rnorm(50)
    hsj(x)

[Package sm version 2.2-5.4 Index]