View source: R/kfolds2Chisqind.R
kfolds2Chisqind | R Documentation |
This function computes individual Predicted Chisquare for kfold cross validated partial least squares beta regression models.
kfolds2Chisqind(pls_kfolds)
pls_kfolds |
a kfold cross validated partial least squares regression glm model |
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 |
Use PLS_beta_kfoldcv
to create kfold cross validated
partial least squares regression glm models.
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.
## 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)
Add the following code to your website.
For more information on customizing the embed code, read Embedding Snippets.