coxr.object: Fit Robustly Proportional Hazards Regression Object

In coxrobust: Fit Robustly Proportional Hazards Regression Model

Fit Robustly Proportional Hazards Regression Object

Description

This class of objects is returned by coxr function to represent efficiently and robustly fitted proportional hazards regression model. Objects of this class have methods for the functions print, plot and predict.

Value

The following components must be included in a legitimate coxr object.

coefficients	robust estimate of the regression parameter.
ple.coefficients	non-robust (efficient) estimate of the regression parameter.
var	an approximate variance matrix of the coefficients (estimated robustly). Rows and columns corresponding to any missing coefficients are set to zero.
ple.var	an approximate variance matrix of the coefficients (estimated non-robustly). Rows and columns corresponding to any missing coefficients are set to zero.
lambda	cumulated hazard (estimated robustly).
lambda.ple	cumulated hazard (estimated non-robustly).
wald.test	the value of Wald test.
ewald.test	the value of extended Wald test.
skip	skipped columns.
na.action	the na.action attribute, if any, that was returned by the na.action routine.

The object also contain the following, for documentation see the lm object: terms, call, x, y and optionally model.

See Also

coxr

coxrobust documentation built on April 6, 2022, 5:06 p.m.