
This function computes individual Predicted Chisquare for kfold cross validated partial least squares beta regression models.
kfolds2Chisqind(pls_kfolds)
Individual PChisq vs number of components for the first group partition
...
Individual PChisq vs number of components for the last group partition
a kfold cross validated partial least squares regression glm model
Frédéric Bertrand
frederic.bertrand@utt.fr
https://fbertran.github.io/homepage/
Frédéric Bertrand, Nicolas Meyer, Michèle Beau-Faller, Karim El Bayed, Izzie-Jacques Namer, Myriam Maumy-Bertrand (2013). Régression Bêta PLS. Journal de la Société Française de Statistique, 154(3):143-159. http://publications-sfds.math.cnrs.fr/index.php/J-SFdS/article/view/215
kfolds2coeff
,
kfolds2Press
, kfolds2Pressind
,
kfolds2Chisq
, kfolds2Mclassedind
and
kfolds2Mclassed
to extract and transforms results
from kfold cross validation.
if (FALSE) {
data("GasolineYield",package="betareg")
yGasolineYield <- GasolineYield$yield
XGasolineYield <- GasolineYield[,2:5]
bbb <- PLS_beta_kfoldcv(yGasolineYield,XGasolineYield,nt=3,modele="pls-beta")
kfolds2Chisqind(bbb)
}
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