Package: gmvjoint 0.4.0

gmvjoint: Joint Models of Survival and Multivariate Longitudinal Data

Fit joint models of survival and multivariate longitudinal data. The longitudinal data is specified by generalised linear mixed models. The joint models are fit via maximum likelihood using an approximate expectation maximisation algorithm. Bernhardt (2015) <doi:10.1016/j.csda.2014.11.011>.

Authors:James Murray [aut, cre]

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Bug tracker:https://github.com/jamesmurray7/gmvjoint/issues

On CRAN:

glmmjoint-modelslongitudinalmixed-modelsmodelpredictionsurvivalsurvival-analysis

9 exports 3 stars 1.47 score 20 dependencies 20 scripts 266 downloads

Last updated 9 months agofrom:68b1e180d2. Checks:OK: 9. Indexed: yes.

Exports:boot.jointcond.ranefsdynPredjointparseCoxphrgenpoisROCsimDataxtable.joint

Dependencies:bootglmmTMBlatticelme4MASSMatrixmgcvminqamvtnormnlmenloptrnumDerivpracmaRcppRcppArmadilloRcppEigenstatmodsurvivalTMBxtable