predict.cv_glmaag: Predict

In glmaag: Adaptive LASSO and Network Regularized Generalized Linear Models

Description

Prediction for cv_glmaag model

Usage

## S3 method for class 'cv_glmaag'
predict(object, x, type1se = T, type = "link", ...)

Arguments

object	the estimated cv_glmaag model
x	the new dataset for prediction, if omitted returns the training prediction
type1se	whether or not using the coefficients by one standard error ruld, default to be TRUE
type	can be either "link", or "response", link returns linear predicted score, For Gaussian model this option can be ingnored, for logistic model "response" returns predicted probability, for Cox model "reponse" returns relative risk
...	...

Value

the predicted value

Examples

data(sampledata)
data(L0)
y <- sampledata$Y_Gau
x <- sampledata[, -(1:3)]
cvwhich <- sample(rep(0:4, length.out = length(y)))
mod <- cv_glmaag(y, x, L0, cvwhich = cvwhich)
pp <- predict(mod)

glmaag documentation built on May 10, 2019, 9:04 a.m.