summary.FRBmultireg function

Summary Method for Objects of Class 'FRBmultireg'

Summary method for objects of class FRBmultireg, and print method of the summary object.

## S3 method for class 'FRBmultireg'
summary(object, confmethod = c("BCA", "basic", "both"), digits = 3, 
print.CI=FALSE, sep="", ...)

## S3 method for class 'summary.FRBmultireg'
print(x, ...)

Arguments

• object: an object of class FRBmultireg, typically created by FRBmultiregS, FRBmultiregMM or FRBmultiregGS
• confmethod: which kind of bootstrap confidence intervals to be displayed: 'BCA'= bias corrected and accelerated method, 'basic'= basic bootstrap method, 'both'=both kinds of confidence intervals
• digits: number of digits for printing (default is 3)
• print.CI: logical: Should Confidence intervals be printed?
• sep: Symmbol to separate columns in output. Default is ""
• x: an object of class summary.FRBmultireg, resulting for example from summary(FRBmultiregS(),...)
• ...: potentially more arguments to be passed to methods

Details

The print method displays in a familiar way the components of the summary object, which are listed in the Value section.

Returns

summary returns an object of class summary.FRBmultireg, which contains the following components: - responses: the names of the response variables in the fitted model

• covariates: the names of the covariates (predictors) in the fitted model

• Betawstd: a data frame containing the coefficient estimates and their bootstrap standard errors

• Sigma: estimate for the error covariance matrix

• table.bca: a list with for each response variable a matrix containing the estimates, standard errors, lower and upper limits of the BCa confidence intervals, p-values and a significance code (only present when confmethod="BCA" or confmethod="both")

• table.basic: a list with for each response variable a matrix containing the estimates, standard errors, lower and upper limits of the basic bootstrap confidence intervals, p-values and a significance code (only present when confmethod="basic" or confmethod="both")

• method: multivariate regression method that was used

• conf: confidence level that was used

• digits: number of digits for printing

References

• S. Van Aelst and G. Willems (2013), Fast and robust bootstrap for multivariate inference: The R package FRB. Journal of Statistical Software, 53 (3), 1--32. tools:::Rd_expr_doi("10.18637/jss.v053.i03") .

Author(s)

Gert Willems, Ella Roelant and Stefan Van Aelst

See Also

FRBmultiregS, FRBmultiregMM, FRBmultiregGS, print.FRBmultireg, plot.FRBmultireg

Examples

data(schooldata)
    
    MMres <- FRBmultiregMM(cbind(reading,mathematics,selfesteem)~., data=schooldata,
    R=199, conf = 0.99,nsamp=200)
    summary(MMres)  # -> print.summary.FRBmultireg() method
    
    GSres <- FRBmultiregGS(cbind(reading,mathematics,selfesteem)~., data=schooldata, 
    bdp = 0.25,R=199,nsamp=50)
    summary(GSres, confmethod="both")  # -> print.summary.FRBmultireg() method