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.
The following components must be included in a legitimate coxr object.
robust estimate of the regression parameter.
non-robust (efficient) estimate of the regression parameter.
an approximate variance matrix of the coefficients (estimated robustly). Rows and columns corresponding to any missing coefficients are set to zero.
an approximate variance matrix of the coefficients (estimated non-robustly). Rows and columns corresponding to any missing coefficients are set to zero.
cumulated hazard (estimated robustly).
cumulated hazard (estimated non-robustly).
the value of Wald test.
the value of extended Wald test.
skipped columns.
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.