R: Spatial median regression

Spatial median regression {Rfast} | R Documentation

## Spatial median regression

### Description

Spatial median regression with Euclidean data.

### Usage

    spatmed.reg(y, x, tol = 1e-07)

### Arguments

`y` | A matrix with the response variable.
`x` | The predictor variable(s), they have to be continuous.
`tol` | The threshold upon which to stop the iterations of the Newton-Rapshon algorithm.

### Details

The objective function is the minimization of the sum of the absolute residuals. It is the multivariate generalisation of the median regression.

### Value

A list including:

`iters` | The number of iterations that were required.
`be` | The beta coefficients.

### Author(s)

Michail Tsagris

R implementation and documentation: Michail Tsagris <mtsagris@uoc.gr>

### References

Biman Chakraborty (2003) On multivariate quantile regression. Journal of Statistical Planning and Inference http://www.stat.nus.edu.sg/export/sites/dsap/research/documents/tr01_2000.pdf

### See Also

`spat.med, sscov, lmfit`

### Examples

    ## Not run:
    x <- as.matrix(iris[, 3:4])
    y <- as.matrix(iris[, 1:2])
    mod1 <- spatmed.reg(y, x)

    ## End(Not run)

[Package Rfast version 2.0.4 Index]