Produces a summary of a fitted vdra logistic regression model.
## S3 method for class 'vdralogistic'
# S3 method for vdralogistic
summary(object, ...)a vdralogistic object.
futher argumetns passed to or from other methods.
Returns an object of class summary.vdralogistic. Objects of this class have a method for the function print. The following components must be included in summary.vdralogistic 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.
the vector of the standard error of the coefficients.
the t-values of the coefficietns.
the p-values of the coefficients.
the null deviance of the fit.
the degrees of freedom for the null deviance.
the residual deviance of the fit.
the degrees of freedome for the residual deviance.
the AIC of the fit.
the BIC of the fit.
the number of iterations of the cox algorithm before convergence.
# NOT RUN {
summary(vdra_fit_logistic_A)
# }
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