Description Usage Format Usage Methods

Regression beta coefficients are use for building a weighted distance measure between the learning and verum data set. The learning data set is used for learning the Cox model and use the obtained weights for calculating a (n x m)-distance matrix, where n is the number of cases in the learning data set and m is the number of cases of the query data. This distance matrix can then be used for cluster analysis or for getting for each case in the query data k (=1,...,l) smilar cases from the learning data. The rms-package is used for model fitting, variable selection, and checking the assumptions. If query data is ommitted, a n x n- distance matrix is returned.

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An `R6Class`

generator object

For usage details see **Methods, Arguments, and Examples** sections.

`new(formula, ...)`

This method is used to create an object of this class

`RFModel`

. Formula for analysis has to be provided. Further parameters for the ranger call can be provided here.`fit(dtData)`

Fits the RandomForest model.

- ...
See CBRBase class.

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