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fcr (version 1.0)

Functional Concurrent Regression for Sparse Data

Description

Dynamic prediction in functional concurrent regression with an application to child growth. Extends the pffr() function from the 'refund' package to handle the scenario where the functional response and concurrently measured functional predictor are irregularly measured. Leroux et al. (2017), Statistics in Medicine, .

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Version

Install

install.packages('fcr')

Monthly Downloads

180

Version

1.0

License

GPL (>= 3)

Maintainer

Andrew Leroux

Last Published

March 13th, 2018

Functions in fcr (1.0)

content

Example dataset
fcr

Fit Functional Concurrent Regression
plot.fcr

Plotting an fcr model fit
predict.fcr

Prediction for fcr
fcr-package

Dynamic prediction in functional concurrent regression with sparse functional covariates