summary.FRBmultireg {FRB} | R Documentation |
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"), ...) ## S3 method for class 'summary.FRBmultireg': print(x, digits = 3, ...)
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 |
x |
an R object of class summary.FRBmultireg , resulting for example from summary(FRBmultiregS(),...) |
digits |
number of digits for printing (defaulting to 3) |
... |
potentially more arguments to be passed to methods |
The print
method displays the components of the summary
object, practically as listed in the Value section.
summary
returns an object of class summary.FRBmultireg
, which is a list containing:
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 |
limits.bca |
a list with for each response variable a matrix containing the lower and upper limits of the
BCa confidence intervals (only present when confmethod="BCA" or confmethod="both" ) |
limits.basic |
a list with for each response variable a matrix containing the lower and upper limits of the
basic bootstrap confidence intervals (only present when confmethod="basic" or confmethod="both" ) |
method |
multivariate regression method that was used |
conf |
confidence level that was used |
Gert Willems and Ella Roelant
FRBmultiregS
, FRBmultiregMM
, FRBmultiregGS
, print.FRBmultireg
, plot.FRBmultireg
data(schooldata) school.x <- data.matrix(schooldata[,1:5]) school.y <- data.matrix(schooldata[,6:8]) MMres <- FRBmultiregMM(school.x, school.y, R=999, conf = 0.99) summary(MMres) # -> print.summary.FRBmultireg() method GSres <- FRBmultiregGS(school.x, school.y, bdp = 0.25) summary(GSres, confmethod="both") # -> print.summary.FRBmultireg() method