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, ...)
a matrix or data
not currently used
not currently used
can be any combination of c("correlation", "mean", "variance"). Scores are determined based on the specified characteristics
not currently used