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.

*CaseBasedReasoning*version 0.3 Index]