Package: MJMbamlss 0.1.0.9000

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]

MJMbamlss_0.1.0.9000.tar.gz
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MJMbamlss.pdf |MJMbamlss.html✨
MJMbamlss/json (API)
NEWS

# 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:

5 exports 1 stars 1.18 score 120 dependencies 15 scripts 162 downloads

Last updated 21 days agofrom:d0d666657f. Checks:OK: 9. Indexed: yes.

Target	Result	Date
Doc / Vignettes	OK	Aug 28 2024
R-4.5-win-x86_64	OK	Aug 28 2024
R-4.5-linux-x86_64	OK	Aug 28 2024
R-4.4-win-x86_64	OK	Aug 28 2024
R-4.4-mac-x86_64	OK	Aug 28 2024
R-4.4-mac-aarch64	OK	Aug 28 2024
R-4.3-win-x86_64	OK	Aug 28 2024
R-4.3-mac-x86_64	OK	Aug 28 2024
R-4.3-mac-aarch64	OK	Aug 28 2024

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 data.table deSolve digest distributions3 dotCall64 ellipsis evaluate fansi 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 munsell mvtnorm nlme nloptr nnet numDeriv pbs pcaPP pillar pkgconfig plyr pracma R6 rainbow rappdirs RColorBrewer Rcpp RcppEigen RCurl refund rlang RLRsim rmarkdown rpart rstudioapi sass scales sp spam sparseFLMM statmod stringi stringr survival tibble tinytex utf8 vctrs viridis 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