CoxModel {CaseBasedReasoning} | R Documentation |
Cox-Beta Model for Case-Based-Reasoning
Description
Cox-Beta Model for Case-Based-Reasoning
Cox-Beta Model for Case-Based-Reasoning
Details
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.
Super classes
CaseBasedReasoning::CBRBase
-> CaseBasedReasoning::RegressionModel
-> CoxModel
Public fields
model
the statistical model
model_params
rms arguments
Methods
Public methods
Inherited methods
Method check_ph()
Check proportional hazard assumption graphically
Usage
CoxModel$check_ph()
Method clone()
The objects of this class are cloneable with this method.
Usage
CoxModel$clone(deep = FALSE)
Arguments
deep
Whether to make a deep clone.