Coefficients for permutation bootstrap computations of PLSGLR models

A function passed to boot to perform bootstrap.

permcoefs.plsRglm(
  dataset,
  ind,
  nt,
  modele,
  family = NULL,
  maxcoefvalues,
  ifbootfail,
  verbose
)

Arguments

dataset	dataset to resample
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
ifbootfail	value to return if the estimation fails on a bootstrap sample
verbose	should info messages be displayed ?

Value

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

See also

See also bootplsglm.

Author

Frédéric Bertrand
frederic.bertrand@utt.fr
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.bootYX <- bootplsglm(modplsglm, R=250, typeboot="plsmodel", 
sim="permutation", statistic=permcoefs.plsRglm, verbose=FALSE)