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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 |
Reference manual: | gmfamm.pdf |
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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These binaries (installable software) and packages are in development.
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