gmfamm: Generalized Multivariate Functional Additive Models

Supply implementation to model generalized multivariate functional data using Bayesian additive mixed models of R package 'bamlss' via a latent Gaussian process (see Umlauf, Klein, Zeileis (2018) <doi:10.1080/10618600.2017.1407325>).

Version: 0.1.0
Depends: R (≥ 3.5), bamlss
Imports: mgcv, stats, MASS, splines, Matrix
Suggests: testthat (≥ 3.0.0), tidyverse, JMbayes2, registr, funData, MFPCA, MJMbamlss, refund
Published: 2024-06-18
DOI: 10.32614/CRAN.package.gmfamm
Author: Nikolaus Umlauf ORCID iD [aut], Alexander Volkmann [aut, cre]
Maintainer: Alexander Volkmann <alexandervolkmann8 at gmail.com>
License: GPL-3
NeedsCompilation: no
Materials: README, NEWS
CRAN checks: gmfamm results

Documentation:

Reference manual: gmfamm.html , gmfamm.pdf

Downloads:

Package source: gmfamm_0.1.0.tar.gz
Windows binaries: r-devel: gmfamm_0.1.0.zip, r-release: gmfamm_0.1.0.zip, r-oldrel: gmfamm_0.1.0.zip
macOS binaries: r-release (arm64): gmfamm_0.1.0.tgz, r-oldrel (arm64): gmfamm_0.1.0.tgz, r-release (x86_64): gmfamm_0.1.0.tgz, r-oldrel (x86_64): gmfamm_0.1.0.tgz

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