predict.sgs {sgs}

predict using a "sgs" object

Description

Performs prediction from an fit_sgs() model fit.

Usage

## S3 method for class 'sgs'
predict(object, x, ...)

Arguments

object

an object of class "sgs" from a call to fit_sgs().

x

Input data to use for prediction.

...

further arguments passed to stats function.

Value

A list containing: itemresponseThe predicted response. In the logistic case, this represents the predicted class probabilities. itemclassThe predicted class assignments. Only returned if type = "logistic" in the "sgs" object.

See Also

fit_sgs()

Other SGS-methods: plot.sgs_cv(), print.sgs()

Examples

# specify a grouping structure
groups = c(1,1,1,2,2,3,3,3,4,4)
# generate data
data = generate_toy_data(p=10, n=5, groups = groups, seed_id=3,group_sparsity=1)
# run SGS 
model = fit_sgs(X = data$X, y = data$y, groups = groups, type="linear", lambda = 1, alpha=0.95, 
vFDR=0.1, gFDR=0.1, standardise = "l2", intercept = TRUE, verbose=FALSE)
# use predict function
model_predictions = predict(model, x = data$X)