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Maximum likelihood estimation for the semi-parametric joint modeling of competing risks and 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: | 1.4.2 |
Depends: | R (≥ 3.5.0), statmod, MASS |
Imports: | Rcpp (≥ 1.0.7), dplyr, nlme, caret, survival, timeROC |
LinkingTo: | Rcpp, RcppEigen |
Suggests: | testthat (≥ 3.0.0), spelling |
Published: | 2024-03-01 |
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 |
Reference manual: | FastJM.pdf |
Package source: | FastJM_1.4.2.tar.gz |
Windows binaries: | r-devel: FastJM_1.4.2.zip, r-release: FastJM_1.4.2.zip, r-oldrel: FastJM_1.4.2.zip |
macOS binaries: | r-release (arm64): FastJM_1.4.2.tgz, r-oldrel (arm64): FastJM_1.4.2.tgz, r-release (x86_64): FastJM_1.4.2.tgz, r-oldrel (x86_64): FastJM_1.4.2.tgz |
Old sources: | FastJM archive |
Reverse imports: | jmBIG |
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