Package: multifamm 0.1.1

multifamm: Multivariate Functional Additive Mixed Models

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 (alexvolkmann/multifammPaper).

Authors:Alexander Volkmann [aut, cre]

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multifamm.pdf |multifamm.html✨
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Bug tracker:https://github.com/alexvolkmann/multifamm/issues

On CRAN:

1 exports 2 stars 0.84 score 74 dependencies 7 scripts 257 downloads

Last updated 3 years agofrom:1fe2c7df42. Checks:OK: 7. Indexed: yes.

Exports:multiFAMM

Dependencies:abindashbitopsbootcliclustercodetoolscolorspacedata.tabledeSolvedotCall64fansifarverfdafdsfieldsFNNforeachfunDatagamm4ggplot2gluegrpreggtablehdrcdeirlbaisobanditeratorskernlabKernSmoothkslabelinglatticelifecyclelme4locfitmagicmagrittrmapsMASSMatrixmclustMFPCAmgcvminqamulticoolmunsellmvtnormnlmenloptrpbspcaPPpillarpkgconfigplyrpracmaR6rainbowRColorBrewerRcppRcppEigenRCurlrefundrlangRLRsimscalesspamsparseFLMMtibbleutf8vctrsviridisLitewithrzoo