vdralogistic: Vertical Distributed Logistic Regression Results Object
In vdra: Vertical Distributed Regression Analysis

Description Arguments See Also

This class of object is returned by the two party, three party, and K-party distributed regression analysis programs when "logistic" regression is specified. Objects of this class have methods for the functions print and summary.

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

`failed`	logical value. If `FALSE`, then there was an error processing the data. if `TRUE`, there were no errors.
`converged`	logical value. If `TRUE`, the regression converged. If `FALSE`, it did not.
`party`	a vector which indicates the party from which each covariate came.
`coefficients`	the vector of coefficients. If the model is over-determined, there will be `NA` values in the vector corresponding to the redudant columns model matrix.
`secoef`	the vector of the standard error of the coefficients.
`tvals`	the t-values of the coefficietns.
`pvals`	the p-values of the coefficients.
`n`	the number of observations in the data.
`nulldev`	the null deviance of the fit.
`resdev`	the residual deviance of the fit.
`aic`	the AIC of the fit.
`bic`	the BIC of the fit.
`nulldev_df`	the degrees of freedom for the null deviance.
`resdev_df`	the degrees of freedome for the residual deviance.
`hoslem`	the Hosmer Lemshow Test statistics.
`ROC`	a list containing the coordinates for an ROC curve.
`iter`	the number of iterations of the cox algorithm before convergence.
`Y`	a matrix of the response. Only returned to the party which holds the response.
`FinalFitted`	a matrix of final fitted values of the regression. Only returned to the party which holds the response.