huber.mu {asbio} | R Documentation |

## Huber M-estimator of location

### Description

The Huber *M*-estimator is a robust high efficiency estimator of location that has probably been under-utilized by biologists. It is based on maximizing the likelihood of a weighting function. This is accomplished using an iterative least squares process. The Newton Raphson algorithm is used here. The function usually converges fairly quickly (< 10 iterations). The function uses the Median Absolute Deviation function, `mad`

. Note that if MAD = 0, then `NA`

is returned.

### Usage

```
huber.mu(x, c = 1.28, iter = 20, conv = 1e-07)
```

### Arguments

`x` |
A vector of quantitative data. |

`c` |
Stop criterion. The value |

`iter` |
Maximum number of iterations. |

`conv` |
Convergence criterion. |

### Value

Returns Huber's *M*-estimator of location.

### Author(s)

Ken Aho

### References

Huber, P. J. (2004) *Robust Statistics*. Wiley.

Wilcox, R. R. (2005) *Introduction to Robust Estimation and Hypothesis Testing, Second
Edition*. Elsevier, Burlington, MA.

### See Also

### Examples

```
x <- rnorm(100)
huber.mu(x)
```

*asbio*version 1.9-7 Index]