vdra (version 1.0.0)

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

Description

Produces a summary of a fitted vdra linear regression model.

Usage

## S3 method for class 'vdralinear'
  # S3 method for 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

# NOT RUN {
  summary(vdra_fit_linear_A)
# }