R: Box-Cox transformation for geodata objects

boxcox.geodata {geoR} | R Documentation

## Box-Cox transformation for geodata objects

### Description

Method for Box-Cox transformation for objects of the class `geodata` assuming the data are independent. Computes and optionally plots profile log-likelihoods for the parameter of the Box-Cox simple power transformation y^lambda.

### Usage

    ## S3 method for class 'geodata'
    boxcox(object, trend = "cte", ...)

### Arguments

`object` | an object of the class geodata. See `as.geodata`.
`trend` | specifies the mean part of the model. See `trend.spatial` for further details. Defaults to `"cte"`.
`...` | arguments to be passed for the function `boxcox`.

### Details

This is just a wrapper for the function `boxcox` facilitating its usage with `geodata` objects.

Notice this assume independent observations which is typically not the case for `geodata` objects.

### Value

A list of the `lambda` vector and the computed profile log-likelihood vector, invisibly if the result is plotted.

### See Also

`boxcox` for parameter estimation results for independent data and `likfit` for parameter estimation within the geostatistical model.

### Examples

    if(require(MASS)){
    boxcox(wolfcamp)

    data(ca20)
    boxcox(ca20, trend = ~altitude)
    }

[Package geoR version 1.7-5.2 Index]