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
multifamm/json (API)
NEWS

# Install 'multifamm' in R:
install.packages('multifamm', repos = c('https://alexvolkmann.r-universe.dev', 'https://cloud.r-project.org'))

Bug tracker:https://github.com/alexvolkmann/multifamm/issues

Datasets:

On CRAN:

Conda:

3.00 score 2 stars 10 scripts 249 downloads 1 exports 77 dependencies

Last updated 4 years agofrom:1fe2c7df42. Checks:9 OK. Indexed: yes.

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Exports:multiFAMM

Dependencies:abindashbitopsbootcliclustercodetoolscolorspacedata.tabledeSolvedotCall64fansifarverfdafdsfieldsFNNforeachfunDatagamm4ggplot2gluegrpreggtablehdrcdeirlbaisobanditeratorskernlabKernSmoothkslabelinglatticelifecyclelme4locfitmagicmagrittrmapsMASSMatrixmclustMFPCAmgcvminqamulticoolmunsellmvtnormnlmenloptrpbspcaPPpillarpkgconfigplyrpracmaR6rainbowrbibutilsRColorBrewerRcppRcppEigenRCurlRdpackreformulasrefundrlangRLRsimscalesspamsparseFLMMtibbleutf8vctrsviridisLitewithrzoo