FDboost: predict.FDboost – R documentation

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predict.FDboost

Prediction for boosted functional regression model

Description

Takes a fitted FDboost-object produced by FDboost() and produces predictions given a new set of values for the model covariates or the original values used for the model fit. This is a wrapper function for predict.mboost()

Usage

## S3 method for class 'FDboost'
predict(object, newdata = NULL, which = NULL, toFDboost = TRUE, ...)

Arguments

`object`	a fitted `FDboost`-object
`newdata`	a named list or a data frame containing the values of the model covariates at which predictions are required. If this is not provided then predictions corresponding to the original data are returned. If `newdata` is provided then it should contain all the variables needed for prediction, in the format supplied to `FDboost`, i.e., functional predictors must be supplied as matrices with each row corresponding to one observed function.
`which`	a subset of base-learners to take into account for computing predictions or coefficients. If which is given (as an integer vector corresponding to base-learners) a list is returned.
`toFDboost`	logical, defaults to `TRUE`. In case of regular response in wide format (i.e. response is supplied as matrix): should the predictions be returned as matrix, or list of matrices instead of vectors
`...`	additional arguments passed on to `predict.mboost()`.

Value

a matrix or list of predictions depending on values of unlist and which

predict.FDboost

Description

Usage

Arguments

Value

See Also

FDboost

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