JMcmprsk: Joint Models for Longitudinal and Competing Risks Data

Fit joint models of continuous or ordinal longitudinal data and time-to-event data with competing risks. For a detailed information, see Robert Elashoff, Gang Li and Ning Li (2016, ISBN:9781439807828); Robert M. Elashoff,Gang Li and Ning Li (2008) <doi:10.1111/j.1541-0420.2007.00952.x> ; Ning Li, Robert Elashoff, Gang Li and Jeffrey Saver (2010) <doi:10.1002/sim.3798> .

Version: 0.9.9
Depends: R (≥ 3.5.0)
Imports: Rcpp, MASS, stats, utils, statmod, pracma, reshape2, dplyr
LinkingTo: Rcpp
Suggests: knitr, rmarkdown
Published: 2020-11-21
Author: Hong Wang [aut, cre], Ning Li [ctb],Shanpeng Li[ctb] and Gang Li [ctb]
Maintainer: Hong Wang <wh at>
License: GPL-2 | GPL-3 [expanded from: GPL (≥ 2)]
NeedsCompilation: yes
SystemRequirements: GNU GSL
Materials: INSTALL
CRAN checks: JMcmprsk results


Reference manual: JMcmprsk.pdf
Vignettes: Joint Models for Longitudinal Measurements and Competing Risks Failure Time Data
Package source: JMcmprsk_0.9.9.tar.gz
Windows binaries: r-devel:, r-release:, r-oldrel:
macOS binaries: r-release: JMcmprsk_0.9.9.tgz, r-oldrel: JMcmprsk_0.9.9.tgz
Old sources: JMcmprsk archive


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