Package: MJMbamlss 0.1.0.9002

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) <arxiv:2311.06409>.

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

# Install 'MJMbamlss' in R:

install.packages('MJMbamlss', repos = c('https://alexvolkmann.r-universe.dev', 'https://cloud.r-project.org'))

Bug tracker:https://github.com/alexvolkmann/mjmbamlss/issues

Datasets:

pbc_subset - PBC Subset

On CRAN:

3.18 score 2 stars 15 scripts 135 downloads 5 exports 117 dependencies

Last updated from:bc486b98e9. Checks:11 WARNING, 2 OK. Indexed: yes.

Target	Result	Time
linux-devel-arm64	WARNING	234
linux-devel-x86_64	WARNING	250
source / vignettes	OK	240
linux-release-arm64	WARNING	214
linux-release-x86_64	WARNING	235
macos-release-arm64	WARNING	244
macos-release-x86_64	WARNING	321
macos-oldrel-arm64	WARNING	204
macos-oldrel-x86_64	WARNING	392
windows-devel	WARNING	246
windows-release	WARNING	211
windows-oldrel	WARNING	177
wasm-release	OK	2217

Exports:attach_wfpc MFPCA_cov mjm_bamlss preproc_MFPCA simMultiJM

Dependencies:abind ash backports bamlss base64enc BH bitops boot bslib cachem checkmate cli cluster coda codetools colorspace cpp11 data.table deSolve digest distributions3 dotCall64 evaluate farver fastmap fda fdapace fds fields FNN fontawesome foreach foreign Formula fs funData gamm4 ggplot2 glue gridExtra grpreg gtable hdrcde highr Hmisc htmlTable htmltools htmlwidgets irlba isoband iterators jquerylib jsonlite kernlab KernSmooth knitr ks labeling lattice lifecycle lme4 locfit magic magrittr maps MASS Matrix MBA mclust memoise MFPCA mgcv mime minqa multicool mvtnorm nlme nloptr nnet numDeriv pbs pcaPP plyr pracma R6 rainbow rappdirs rbibutils RColorBrewer Rcpp RcppEigen RCurl Rdpack reformulas refund rlang RLRsim rmarkdown rpart rstudioapi S7 sass scales sp spam sparseFLMM statmod stringi stringr survival tinytex vctrs viridisLite withr xfun yaml zoo

Citation

Development and contributors

Readme and manuals

Help Manual

Help page	Topics
Attach Weighted Functional Principal Components to the Data	attach_wfpc
Functional principal components analysis by smoothed covariance	fpca
Function to calculate the multivariate FPCA for a given covariance matrix and univariate basis functions	MFPCA_cov
Family for Flexible Multivariate Joint Model	mjm_bamlss
Prediction of MJM model	MJM_predict
PBC Subset	pbc_subset
mgcv-style constructor for prediction of PC-basis functional random effects	Predict.matrix.unc_pcre.random.effect
Preprocessing step to create MFPCA object	preproc_MFPCA
Simulation Helper Function - Predict the Results for bamlss-Models	sim_bamlss_predict
Simulation Helper Function - Predict the Results for JMbayes-Models	sim_jmb_predict
Simulation Helper Function - Evaluate the Simulation for JMbamlss Setting	sim_jmbamlss_eval
Simulation Helper Function - Evaluate the Simulation for JMbayes Setting	sim_jmbayes_eval
New Simulation Function For Multivariate JMs Based On FPCs	simMultiJM
mgcv-style constructor for PC-basis functional random effects (no constraint)	smooth.construct.unc_pcre.smooth.spec
Survival Integral	survint_C
Flexible Joint Models for Multivariate Longitudinal and Time-to-Event Data	varbinq