Package: gmfamm 0.1.0

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>).

Authors:Nikolaus Umlauf [aut], Alexander Volkmann [aut, cre]

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gmfamm.pdf |gmfamm.html✨
gmfamm/json (API)
NEWS

# Install 'gmfamm' in R:
install.packages('gmfamm', repos = c('https://alexvolkmann.r-universe.dev', 'https://cloud.r-project.org'))

Peer review:

Datasets:

On CRAN:

This package does not link to any Github/Gitlab/R-forge repository. No issue tracker or development information is available.

1.70 score 1 scripts 485 downloads 5 exports 37 dependencies

Last updated 5 months agofrom:a280ae878f. Checks:OK: 7. Indexed: yes.

TargetResultDate
Doc / VignettesOKNov 16 2024
R-4.5-winOKNov 16 2024
R-4.5-linuxOKNov 16 2024
R-4.4-winOKNov 16 2024
R-4.4-macOKNov 16 2024
R-4.3-winOKNov 16 2024
R-4.3-macOKNov 16 2024

Exports:gmgmfammmface_cycsimMuFutrafficfam3

Dependencies:bamlssBHclicodacolorspacedistributions3fansifarverFormulaggplot2gluegtableisobandlabelinglatticelifecyclemagrittrMASSMatrixMBAmgcvmunsellmvtnormnlmepillarpkgconfigR6RColorBrewerrlangscalesspsurvivaltibbleutf8vctrsviridisLitewithr