Maximum likelihood estimation for the semi-parametric joint modeling of competing risks and (multivariate) longitudinal data applying customized linear scan algorithms, proposed by Li and colleagues (2022) <doi:10.1155/2022/1362913>. The time-to-event data is modelled using a (cause-specific) Cox proportional hazards regression model with time-fixed covariates. The longitudinal outcome is modelled using a linear mixed effects model. The association is captured by shared random effects. The model is estimated using an Expectation Maximization algorithm.
Version: 1.5.0 Depends: R (≥ 3.5.0), survival, utils, MASS, statmod, magrittr Imports: Rcpp (≥ 1.0.7), dplyr, nlme, caret, timeROC LinkingTo: Rcpp, RcppEigen Suggests: testthat (≥ 3.0.0), spelling Published: 2025-06-22 DOI: 10.32614/CRAN.package.FastJM Author: Shanpeng Li [aut, cre], Ning Li [ctb], Hong Wang [ctb], Jin Zhou [ctb], Hua Zhou [ctb], Gang Li [ctb] Maintainer: Shanpeng Li <lishanpeng0913 at ucla.edu> License: GPL (≥ 3) NeedsCompilation: yes Language: en-US Materials: README NEWS CRAN checks: FastJM results Documentation: Downloads: Reverse dependencies: Linking:Please use the canonical form https://CRAN.R-project.org/package=FastJM to link to this page.
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