R: Predict Method for grplasso Objects

predict.grplasso {grplasso}

R Documentation

Predict Method for grplasso Objects

Description

Obtains predictions from a grplasso object.

Usage

## S3 method for class 'grplasso'
predict(object, newdata, type = c("link", "response"),
        na.action = na.pass, ...)

Arguments

`object`	a `grplasso` object
`newdata`	`data.frame` or design matrix of new observations
`type`	the type of prediction. `type = "link"` is on the scale of linear predictors, whereas `type = "response"` is on the scale of the response variable, i.e. `type = "response"` applies the inverse link function to the linear predictors.
`na.action`	function determining what should be done with missing values in `newdata`. The default is to predict `NA`.
`...`	other options to be passed to the predict function.

Value

A matrix whose columns correspond to the different values of the penalty parameter lambda of the grplasso object.

Note

If newdata is given, offsets specified by offset in the fit by grplasso.default will not be included in predictions, whereas those specified by an offset term in the formula will be considered.

Examples

data(splice)

contr <- rep(list("contr.sum"), ncol(splice) - 1)
names(contr) <- names(splice)[-1]

fit <- grplasso(y ~ ., data = splice, model = LogReg(), lambda = 10,
                contrasts = contr, standardize = TRUE)

pred <- predict(fit)
pred.resp <- predict(fit, type = "response")

## The following points should lie on the sigmoid curve
plot(pred, pred.resp)

[Package grplasso version 0.4-6 Index]