summary.vdralinear: Summary Method for Vertical Distributed Linear Regression...

In vdra: Vertical Distributed Regression Analysis

Description

Produces a summary of a fitted vdra linear regression model.

Usage

  ## S3 method for class 'vdralinear'
  ## S3 method for class 'vdralinear'
summary(object, ...)

Arguments

object	a vdralinear object.
...	futher argumetns passed to or from other methods.

Value

Returns an object of class summary.vdralinear. Objects of this class have a method for the function print. The following components must be included in summary.vdralinear object.

failed	logical value. If FALSE, then there was an error processing the data. if TRUE, there were no errors.
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 missing 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.
rstderr	residual standard error.
rsquare	r squared.
adjrsquare	adjusted r squared.
Fstat	the F-statistic for the linear regression.
df1	the numerator degrees of freedom for the F-statistic.
df2	the denominator degrees of freedom for the F-statistic.
Fpval	the p-value of the F-statistic for the linear regression.

See Also

vdralinear

Examples

  summary(vdra_fit_linear_A)

vdra documentation built on Sept. 9, 2021, 9:10 a.m.