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 [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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