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) ).


gmfamm

The goal of gmfamm is to provide a new family for the bamlss package, which allows to model generalized multivariate functional data. The functions already work and additional documentation will be added.

Installation

You can install the release version of gmfamm from CRAN with:

install.packages("gmfamm")

Reference manual

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install.packages("gmfamm")

0.1.1 by Alexander Volkmann, 7 months ago


Browse source code at https://github.com/cran/gmfamm


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


Documentation:   PDF Manual  


GPL-3 license


Imports mgcv, stats, MASS, splines, Matrix

Depends on bamlss

Suggests testthat, tidyverse, JMbayes2, registr, funData, MFPCA, MJMbamlss, refund


See at CRAN