predict.grplasso {grplasso} | R Documentation |
Obtains predictions from a grplasso
object.
## S3 method for class 'grplasso': predict(object, newdata, type = c("link", "response"), na.action = na.pass, ...)
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. |
A matrix whose columns correspond to the different values of
the penalty parameter lambda
of the grplasso
object.
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.
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)