Coefficients for bootstrap computations of PLSGLR models

A function passed to boot to perform bootstrap.

Usage

coefs.plsRglmnp(
  dataRepYtt,
  ind,
  nt,
  modele,
  family = NULL,
  maxcoefvalues,
  wwetoile,
  ifbootfail
)

Arguments

dataRepYtt

components' coordinates to bootstrap

ind

indices for resampling

nt

number of components to use

modele

type of modele to use, see plsRglm

family

glm family to use, see plsRglm

maxcoefvalues

maximum values allowed for the estimates of the coefficients to discard those coming from singular bootstrap samples

wwetoile

values of the Wstar matrix in the original fit

ifbootfail

value to return if the estimation fails on a bootstrap sample

Value

estimates on a bootstrap sample or ifbootfail value if the bootstrap computation fails.

Note

~~some notes~~

See also

See also bootplsglm

Author

Frédéric Bertrand
frederic.bertrand@lecnam.net
https://fbertran.github.io/homepage/

Examples

data(Cornell)

# (Y,X) bootstrap of a PLSGLR model
# statistic=coefs.plsRglm is the default for (Y,X) bootstrap of a PLSGLR models.
set.seed(250)
modplsglm <- plsRglm(Y~.,data=Cornell,1,modele="pls-glm-family",family=gaussian)
#> ____************************************************____
#> 
#> Family: gaussian 
#> Link function: identity 
#> 
#> ____Component____ 1 ____
#> ____Predicting X without NA neither in X or Y____
#> ****________________________________________________****
#> 
Cornell.bootYT <- bootplsglm(modplsglm, R=250, statistic=coefs.plsRglmnp, verbose=FALSE)