confints.bootpls

0th

Percentile

Bootstrap confidence intervals

This function is a wrapper for boot.ci to derive bootstrap-based confidence intervals from a "boot" object.

Keywords
models, regression
Usage
confints.bootpls(bootobject, indices = NULL, typeBCa=TRUE)
Arguments
bootobject

an object of class "boot"

indices

the indices of the predictor for which CIs should be calculated. Defaults to NULL: all the predictors will be used.

typeBCa

shall BCa bootstrap based CI derived ? Defaults to TRUE. This is a safety option since sometimes computing BCa bootstrap based CI fails whereas the other types of CI can still be derived.

Value

Matrix with the limits of bootstrap based CI for all (defaults) or only the selected predictors (indices option). The limits are given in that order: Normal Lower then Upper Limit, Basic Lower then Upper Limit, Percentile Lower then Upper Limit, BCa Lower then Upper Limit.

See Also

See also bootpls and bootplsglm.

Aliases
  • confints.bootpls
Examples
# NOT RUN {
data(Cornell)

#Lazraq-Cleroux PLS (Y,X) bootstrap
set.seed(250)
modpls <- plsR(Y~.,data=Cornell,3)
Cornell.bootYX <- bootpls(modpls, R=250, verbose=FALSE)
confints.bootpls(Cornell.bootYX,2:8)
confints.bootpls(Cornell.bootYX,2:8,typeBCa=FALSE)
# }
Documentation reproduced from package plsRglm, version 1.2.5, License: GPL-3

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