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]

multifamm_0.1.1.tar.gz
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multifamm_0.1.1.tgz(r-4.4-any)multifamm_0.1.1.tgz(r-4.3-any)
multifamm_0.1.1.tar.gz(r-4.5-noble)multifamm_0.1.1.tar.gz(r-4.4-noble)
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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'))

Peer review:

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

Datasets:

On CRAN:

3.00 score 2 stars 10 scripts 209 downloads 1 exports 74 dependencies

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

TargetResultDate
Doc / VignettesOKNov 05 2024
R-4.5-winOKNov 05 2024
R-4.5-linuxOKNov 05 2024
R-4.4-winOKNov 05 2024
R-4.4-macOKNov 05 2024
R-4.3-winOKNov 05 2024
R-4.3-macOKNov 05 2024

Exports:multiFAMM

Dependencies:abindashbitopsbootcliclustercodetoolscolorspacedata.tabledeSolvedotCall64fansifarverfdafdsfieldsFNNforeachfunDatagamm4ggplot2gluegrpreggtablehdrcdeirlbaisobanditeratorskernlabKernSmoothkslabelinglatticelifecyclelme4locfitmagicmagrittrmapsMASSMatrixmclustMFPCAmgcvminqamulticoolmunsellmvtnormnlmenloptrpbspcaPPpillarpkgconfigplyrpracmaR6rainbowRColorBrewerRcppRcppEigenRCurlrefundrlangRLRsimscalesspamsparseFLMMtibbleutf8vctrsviridisLitewithrzoo