kfolds2Chisqind {plsRbeta} | R Documentation |
Computes individual Predicted Chisquare for kfold cross validated partial least squares beta regression models.
Description
This function computes individual Predicted Chisquare for kfold cross validated partial least squares beta regression models.
Usage
kfolds2Chisqind(pls_kfolds)
Arguments
pls_kfolds |
a kfold cross validated partial least squares regression glm model |
Value
list |
Individual PChisq vs number of components for the first group partition |
list() |
... |
list |
Individual PChisq vs number of components for the last group partition |
Note
Use PLS_beta_kfoldcv
to create kfold cross validated
partial least squares regression glm models.
Author(s)
Frédéric Bertrand
frederic.bertrand@utt.fr
https://fbertran.github.io/homepage/
References
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
See Also
kfolds2coeff
,
kfolds2Press
, kfolds2Pressind
,
kfolds2Chisq
, kfolds2Mclassedind
and
kfolds2Mclassed
to extract and transforms results
from kfold cross validation.
Examples
## Not run:
data("GasolineYield",package="betareg")
yGasolineYield <- GasolineYield$yield
XGasolineYield <- GasolineYield[,2:5]
bbb <- PLS_beta_kfoldcv(yGasolineYield,XGasolineYield,nt=3,modele="pls-beta")
kfolds2Chisqind(bbb)
## End(Not run)