fcr: Functional Concurrent Regression for Sparse Data

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, <doi:10.1002/sim.7582>.

Package details

AuthorAndrew Leroux [aut, cre], Luo Xiao [aut, cre], Ciprian Crainiceanu [aut], William Checkly [aut]
MaintainerAndrew Leroux <aleroux2@jhu.edu>
LicenseGPL (>= 3)
Package repositoryView on CRAN
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fcr documentation built on May 1, 2019, 8:26 p.m.