MJMbamlss: Multivariate Joint Models with 'bamlss'

Multivariate joint models of longitudinal and time-to-event data based on functional principal components implemented with 'bamlss'. Implementation for Volkmann, Umlauf, Greven (2023) <doi:10.48550/arXiv.2311.06409>.

Version:	0.1.0
Depends:	R (≥ 3.5), mgcv, bamlss
Imports:	stats, funData, statmod, mvtnorm, zoo, coda, gamm4, Matrix, refund, utils, fdapace, sparseFLMM, MFPCA, foreach
LinkingTo:	Rcpp, RcppEigen
Suggests:	testthat (≥ 3.0.0), splines, tidyverse
Published:	2023-11-27
DOI:	10.32614/CRAN.package.MJMbamlss
Author:	Nikolaus Umlauf [aut] (<https://orcid.org/0000-0003-2160-9803>), Alexander Volkmann [aut, cre]
Maintainer:	Alexander Volkmann <alexander.volkmann at hu-berlin.de>
License:	GPL-3
NeedsCompilation:	yes
Materials:	README NEWS
CRAN checks:	MJMbamlss results

Documentation:

Reference manual:

MJMbamlss.pdf

Downloads:

Package source:	MJMbamlss_0.1.0.tar.gz
Windows binaries:	r-devel: MJMbamlss_0.1.0.zip, r-release: MJMbamlss_0.1.0.zip, r-oldrel: MJMbamlss_0.1.0.zip
macOS binaries:	r-release (arm64): MJMbamlss_0.1.0.tgz, r-oldrel (arm64): MJMbamlss_0.1.0.tgz, r-release (x86_64): MJMbamlss_0.1.0.tgz, r-oldrel (x86_64): MJMbamlss_0.1.0.tgz

Reverse dependencies:

Reverse suggests:

gmfamm

Linking:

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