Description Usage Arguments Value Author(s) References See Also Examples
These functions create and print summary results of the estimated equation system.
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object 
an object of class 
x 
an object of class 
residCov 
logical. If 
equations 
logical. If 
digits 
number of digits to print. 
... 
not yet used. 
Applying summary
on an object of class surerob
returns a list of class summary.surerob
.
An object of class summary.surerob
contains all results that belong to the whole system.
This list contains one special object: eq
.
This is a list and contains objects of class
summary.lmrob
.
These objects contain the results that belong to each of the estimated equations.
The objects of classes summary.surerob
have the following components
method 
estimation method. 
residuals 
residuals. 
residCovEst 
residual covariance matrix used for estimation. 
residCov 
estimated residual covariance matrix. 
residCor 
correlation matrix of the residuals. 
detResidCov 
determinant of 
rweights 
matrix of robust weights. 
eq 
a list containing the summary from function

df 
degrees of freedom, a 2vector, where the first element is the number of coefficients and the second element is the number of observations minus the number of coefficients. 
coefficients 
a matrix with columns for the estimated coefficients, their standard errors, tstatistic and corresponding (twosided) pvalues. 
ssr_weighted 
weighted residual sum of squares. 
r.squared 
R^2 value. 
adj.r.squared 
adjusted R^2 value. 
coefCov 
estimated covariance matrix of the coefficients. 
printResidCov 
argument 
printEquations 
argument 
control 
list of control parameters used for the estimation. 
call 
the matched call of 
Claudio Agostinelli and Giovanni Saraceno
Giovanni Saraceno, Fatemah Alqallaf and Claudio Agostinelli (2021?) A Robust Seemingly Unrelated Regressions For RowWise And CellWise Contamination, submitted
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