Package: fcr
Title: Functional Concurrent Regression for Sparse Data
Version: 1.0
Author: Andrew Leroux [aut, cre],
    Luo Xiao [aut, cre],
    Ciprian Crainiceanu [aut],
    William Checkly [aut]
Maintainer: Andrew Leroux <aleroux2@jhu.edu>
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, <doi:10.1002/sim.7582>.
Depends: R (>= 3.2.4), face (>= 0.1), mgcv (>= 1.7), fields (>= 9.0)
License: GPL (>= 3)
Encoding: UTF-8
LazyData: true
RoxygenNote: 6.0.1
Suggests: knitr, rmarkdown
VignetteBuilder: knitr
NeedsCompilation: no
Packaged: 2018-03-11 17:38:36 UTC; andrewleroux
Repository: CRAN
Date/Publication: 2018-03-13 15:45:22 UTC
Built: R 4.2.0; ; 2022-04-13 04:55:13 UTC; unix
