| boxcox.geodata {geoR} | R Documentation |
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.
boxcox.geodata(object, trend = "cte", ...)
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. |
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.
A list of the lambda vector and the computed profile log-likelihood vector, invisibly if the result is plotted.
boxcox, boxcox.fit for
parameter estimation results for independent data and
likfit for parameter estimation
within the geostatistical model.
if(require(MASS)){
boxcox(wolfcamp)
data(ca20)
boxcox(ca20, trend = ~altitude)
}