summary.FRBmultireg: Summary Method for Objects of Class 'FRBmultireg'

In FRB: Fast and Robust Bootstrap

Description

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

Usage

## 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 R 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 R 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.

Value

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

Author(s)

Gert Willems, Ella Roelant and Stefan Van Aelst

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. URL: http://www.jstatsoft.org/v53/i03/.

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

FRB documentation built on May 29, 2017, 5:45 p.m.