plsRglm (version 0.3.3)

confints.bootpls: Bootstrap confidence intervals

Description

~~ A (1-5 lines) description of what the function does. ~~

Usage

confints.bootpls(bootobject, indices = NULL, typeBCa=TRUE)

Arguments

bootobject

~~Explain bootobject here~~

indices

~~Explain indices here~~

typeBCa

~~Explain typeBCa here~~

Value

• ~Describe the value returned If it is a LIST, use
• comp1
  Description of 'comp1'
• comp2
  Description of 'comp2'
• ...

Details

~~ More details than the description above ~~

References

~put references to the literature/web site here ~

See Also

bootpls

Examples

data(Cornell)
XCornell<-Cornell[,1:7]
yCornell<-Cornell[,8]

# Lazraq-Cl�roux PLS ordinary bootstrap

set.seed(250)
Cornell.boot <- bootpls(plsR(yCornell,XCornell,3), sim="ordinary", stype="i", R=250)

(temp.ci <- confints.bootpls(Cornell.boot,2:8))
plots.confints.bootpls(temp.ci)
(temp.ci <- confints.bootpls(Cornell.boot,2:8,typeBCa=FALSE))
plots.confints.bootpls(temp.ci)
(temp.ci <- confints.bootpls(Cornell.boot,c(2,4,6)))
plots.confints.bootpls(temp.ci)

data(aze_compl)
Xaze_compl<-aze_compl[,2:34]
yaze_compl<-aze_compl$y

#should be run with R=1000 but takes much longer time
aze_compl.boot3 <- bootplsglm(plsRglm(yaze_compl,Xaze_compl,3,modele="pls-glm-logistic"), sim="ordinary", stype="i", R=250)
(temp.ci <- confints.bootpls(aze_compl.boot3))
(temp.ci <- confints.bootpls(aze_compl.boot3,1:34,typeBCa=FALSE))
(temp.ci <- confints.bootpls(aze_compl.boot3,c(2,4,6)))