CoxBetaModel: Cox-Beta Model for Case-Based-Reasoning
In sipemu/case-based-reasoning: Case Based Reasoning

Description Usage Format Usage Methods

Regression beta coefficients obtained from a CPH regression model fitted on the training data are used for building a weighted distance measure between train and test data. Afterwards, we will use these weights for calculating a (n x m)-distance matrix, where n is the number of observations in the training data, and m is the number of observations of the test data. The user can use this distance matrix for further cluster analysis or for extracting for each test observation k (= 1,...,l) similar cases from the train data. We use the rms-package for model fitting, variable selection, and checking model assumptions. If the user omits the test data, this functions returns a n x n-distance matrix.

1	CoxBetaModel

A 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 CoxBetaModel. Formula for analysis has to be provided.
fit(dtData): Fits the CPH model.
...: See CBRBase class.