formulaAm
(Package: DiceEval) :
Construction of a formula Y~s(X1)+...+s(Xp)
This function constructs a formula based on splines for additive models.
● Data Source:
CranContrib
● Keywords: internal, models, regression
● Alias: formulaAm
●
0 images
|
residualsStudy analyzes the residuals of a model: a plot of the residuals against the index, a plot of the residuals against the fitted values, the representation of the density and a normal Q-Q plot.
● Data Source:
CranContrib
● Keywords: models
● Alias: residualsStudy
●
1 images
|
modelFit
(Package: DiceEval) :
Fitting metamodels
modelFit is used to fit a metamodel of class lm, gam, mars, polymars or km.
● Data Source:
CranContrib
● Keywords: models
● Alias: modelFit
●
0 images
|
RMA
(Package: DiceEval) :
Relative Maximal Absolute Error
Relative Maximal Absolute Error
● Data Source:
CranContrib
● Keywords: models
● Alias: RMA
●
1 images
|
|
Construction and evaluation of metamodels.
● Data Source:
CranContrib
● Keywords: package
● Alias: DiceEval, DiceEval-package
●
0 images
|
formulaLm
(Package: DiceEval) :
Construction of a formula Y ~ X1+...+Xp
This function constructs a formula containing only the principal factors.
● Data Source:
CranContrib
● Keywords: internal, models, regression
● Alias: formulaLm
●
0 images
|
R2
(Package: DiceEval) :
Multiple R-Squared
Coefficient of determination R2
● Data Source:
CranContrib
● Keywords: models
● Alias: R2
●
0 images
|
penaltyPolyMARS
(Package: DiceEval) :
Choice of the penalty parameter for a PolyMARS model
This function fits a PolyMARS model for different values of the penalty parameter and compute criteria.
● Data Source:
CranContrib
● Keywords: models
● Alias: penaltyPolyMARS
●
1 images
|
|
This function calculates the predicted values at each point of the design and gives an estimation of criterion using K-fold cross-validation.
● Data Source:
CranContrib
● Keywords: models
● Alias: crossValidation
●
0 images
|
testCrossValidation
(Package: DiceEval) :
Test the robustess of the cross-validation procedure
This function calculates the estimated K-fold cross-validation for different values of K.
● Data Source:
CranContrib
● Keywords: models
● Alias: testCrossValidation
●
0 images
|
providing 
.