Produces a summary of a fitted vdra cox model.
## S3 method for class 'vdracox'
# S3 method for vdracox
summary(object, ...)a vdracox object.
futher argumetns passed to or from other methods.
Returns an object of class summary.vdracox. Objects of this class have a method for the function print. The following components must be included in summary.vdracox object.
logical value. If FALSE, then there was an error processing the data. if TRUE, there were no errors.
logical value. If TRUE, the regression converged. If FALSE, it did not.
a vector which indicates the party from which each covariate came.
the vector of coefficients. If the model is over-determined, there will be missing values in the vector corresponding to the redudant columns model matrix.
a vector which represents exp(coefficients).
the vector of the standard error of the coefficients.
the z-values of the coefficients.
the p-values of the coefficients.
a vector which represents exp(-coefficients).
a vector of the lower bounds of the 95% confidence interval for exp(coefficients).
a vector of the upper bounds of the 95% confidence interval for exp(coefficients).
the number of observations in the data.
the number of events used in the fit.
a vector containing the number of events which are concordant, discordant, tied.risk, tied.time. Also contains the concordance statistic and its standard error. Calculated using the survival package, if installed. If not installed, all values are NA.
a vector containing an r-square value for the fit and its p-value.
a vector contaiing the likelihood ratio test statistic and its p-value.
the degrees of freedom.
a vector containg the Wald test statistic and its p-value.
a vector contining the score test statistic and its p-value.
the number of iterations of the cox algorithm before convergence.
# NOT RUN {
summary(vdra_fit_cox_A)
# }
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