Package: multifamm
Type: Package
Title: Multivariate Functional Additive Mixed Models
Version: 0.1.1
Authors@R: person("Alexander", "Volkmann", 
    email = "alexandervolkmann8@gmail.com", role = c("aut", "cre"))
Description: An implementation for multivariate functional additive mixed
    models (multiFAMM), see Volkmann et al. (2021, <arXiv:2103.06606>). It builds on developed methods for univariate sparse 
    functional regression models and multivariate functional principal component
    analysis. This package contains the function to run a multiFAMM and some
    convenience functions useful when working with large models. An additional 
    package on GitHub contains more convenience functions to reproduce the 
    analyses of the corresponding paper 
    (<https://github.com/alexvolkmann/multifammPaper>).
License: GPL (>= 2)
Encoding: UTF-8
LazyData: true
RoxygenNote: 7.1.1
Depends: R (>= 3.5.0)
Imports: data.table, funData, MFPCA (>= 1.3-2), mgcv, sparseFLMM (>
        0.3.0), stats, zoo
NeedsCompilation: no
Packaged: 2021-09-24 10:04:19 UTC; alex
Author: Alexander Volkmann [aut, cre]
Maintainer: Alexander Volkmann <alexandervolkmann8@gmail.com>
Repository: CRAN
Date/Publication: 2021-09-28 09:00:02 UTC
Built: R 4.0.5; ; 2022-04-21 15:56:54 UTC; windows
