predict.ridge: Predict method for ridge model fits

In alex-conanec/OptFilBov: Compromise dealing

Description

Predicted values based on ridge model object.

Usage

## S3 method for class 'ridge'
predict(model, newdata, predict.all = FALSE, R = 100,
  interval = FALSE, interval_method = "sd", ...)

Arguments

model	'ridge' class object
newdata	matrix containg the regressor of the model that you want to predict the response for.
predict.all	logical value (FALSE by default). If TRUE, a matrix of dimension R by nrow(neawdata) is return, containing several predictions from undermodels generate by underModel.ridge
R	numeric value which set the number of under-prediction made when predict.all=TRUE
interval	a boolean value (FALSE by default) to return a interval of prediction
interval_method	either 'sd' (by default) or 'qt'
...	further arguments passed to or from other methods.

See Also

ridge, underModel.ridge

Examples

library(mfe)
data(indicateurs)
X <- indicateurs[, -c(1,2,3)]
Y <- indicateurs[,1]
model <- ridge(X = X, Y = Y, Ylabel = colnames(indicateurs)[1])
predict(model, newdata = indicateurs[1,])
predict(model, newdata = indicateurs[1,], predict.all = TRUE, R = 10)

alex-conanec/OptFilBov documentation built on May 21, 2019, 9:46 a.m.