An influence function that transforms the response variables (y1, y2, y3...) into scores relevant to the correlations, means, and/or variances.

For example, in the case of correlations the variables are transformed into a matrix of (n^2-n)/2 columns (e.g., the number of total correlations), and i rows, where i is the # of observations of y1, where the mean of each vector is equal to the correlation between y1 and y2, y1 and y3, etc.

Used internally in when method="ctree".

cortrafo(data, weights, control, model, ...)

Arguments

data

a matrix or data

weights

not currently used

control

not currently used

model

can be any combination of c("correlation", "mean", "variance"). Scores are determined based on the specified characteristics

...

not currently used