predict.rfr_fpca: Prediction for functional principal component analysis

In tidyfun/refundr: Tidier regression with functional data

Prediction for functional principal component analysis

Description

Takes a fitted rfr_fpca-object produced by rfr_fpca() and produces predictions given a new set of values or the original values used for the model fit.

Usage

## S3 method for class 'rfr_fpca'
predict(object, newdata, ...)

Arguments

object	an rfr_fpca object
newdata	An optional tf data vector. If omitted, the fitted values are returned.
...	optional arguments to be passed to methods

tidyfun/refundr documentation built on March 26, 2022, 4:09 p.m.