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]

gmfamm_0.1.0.tar.gz
gmfamm_0.1.0.zip(r-4.5)gmfamm_0.1.0.zip(r-4.4)gmfamm_0.1.0.zip(r-4.3)
gmfamm_0.1.0.tgz(r-4.5-any)gmfamm_0.1.0.tgz(r-4.4-any)gmfamm_0.1.0.tgz(r-4.3-any)
gmfamm_0.1.0.tar.gz(r-4.5-noble)gmfamm_0.1.0.tar.gz(r-4.4-noble)
gmfamm_0.1.0.tgz(r-4.4-emscripten)gmfamm_0.1.0.tgz(r-4.3-emscripten)
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'))
Datasets:

On CRAN:

Conda:

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 490 downloads 5 exports 37 dependencies

Last updated 10 months agofrom:a280ae878f. Checks:9 OK. Indexed: yes.

TargetResultLatest binary
Doc / VignettesOKMar 16 2025
R-4.5-winOKMar 16 2025
R-4.5-macOKMar 16 2025
R-4.5-linuxOKMar 16 2025
R-4.4-winOKMar 16 2025
R-4.4-macOKMar 16 2025
R-4.4-linuxOKMar 16 2025
R-4.3-winOKMar 16 2025
R-4.3-macOKMar 16 2025

Exports:gmgmfammmface_cycsimMuFutrafficfam3

Dependencies:bamlssBHclicodacolorspacedistributions3fansifarverFormulaggplot2gluegtableisobandlabelinglatticelifecyclemagrittrMASSMatrixMBAmgcvmunsellmvtnormnlmepillarpkgconfigR6RColorBrewerrlangscalesspsurvivaltibbleutf8vctrsviridisLitewithr