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
multifamm_0.1.1.zip(r-4.7)multifamm_0.1.1.zip(r-4.6)multifamm_0.1.1.zip(r-4.5)
multifamm_0.1.1.tgz(r-4.6-any)multifamm_0.1.1.tgz(r-4.5-any)
multifamm_0.1.1.tar.gz(r-4.7-any)multifamm_0.1.1.tar.gz(r-4.6-any)
multifamm_0.1.1.tgz(r-4.6-emscripten)
manual.pdf |manual.html
DESCRIPTION |NEWS
card.svg |card.png
multifamm/json (API)

# 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 251 downloads 1 exports 72 dependencies

Last updated from:1fe2c7df42. Checks:9 OK. Indexed: yes.

TargetResultTimeFilesSyslog
linux-devel-x86_64OK131
source / vignettesOK213
linux-release-x86_64OK132
macos-release-arm64OK85
macos-oldrel-arm64OK87
windows-develOK82
windows-releaseOK79
windows-oldrelOK87
wasm-releaseOK116

Exports:multiFAMM

Dependencies:abindashbitopsbootcliclustercodetoolscolorspacecpp11data.tabledeSolvedotCall64farverfdafdsfieldsFNNforeachfunDatagamm4ggplot2gluegrpreggtablehdrcdeirlbaisobanditeratorskernlabKernSmoothkslabelinglatticelifecyclelme4locfitmagicmapsMASSMatrixmclustMFPCAmgcvminqamulticoolmvtnormnlmenloptrpbspcaPPplyrpracmaR6rainbowrbibutilsRColorBrewerRcppRcppEigenRCurlRdpackreformulasrefundrlangRLRsimS7scalesspamsparseFLMMvctrsviridisLitewithrzoo