FlexVarJM

FlexVarJM-package

Estimation of mixed models including a subject-specific variance which can be time and covariate dependent. In the joint model framework, the package handles left truncation and allows a flexible dependence structure between the competing events and the longitudinal marker. The estimation is performed under the frequentist framework, using the Marquardt-Levenberg algorithm. (Courcoul, Tzourio, Woodward, Barbieri, Jacqmin-Gadda (2023) <a href="https://arxiv.org/abs/2306.16785">arXiv:2306.16785</a>).

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Estimation of mixed models including a subject-specific variance which can be time and covariate dependent. In the joint model framework, the package handles left truncation and allows a flexible dependence structure between the competing events and the longitudinal marker. The estimation is performed under the frequentist framework, using the Marquardt-Levenberg algorithm. (Courcoul, Tzourio, Woodward, Barbieri, Jacqmin-Gadda (2023) <arXiv:2306.16785>).

Léonie Courcoul

Estimate Joint Models with Subject-Specific Variance

Antoine Barbieri

Hélène Jacqmin-Gadda

FlexVarJM-package function

Maintainer: Léonie Courcoul <a href="/link/leonie.courcoul%40u-bordeaux.fr?package=FlexVarJM&version=0.1.0" data-mini-rdoc="FlexVarJM::leonie.courcoul@u-bordeaux.fr">leonie.courcoul@u-bordeaux.fr</a>
Authors:<ul>
<li>Antoine Barbieri <a href="/link/antoine.barbieri%40u-bordeaux.fr?package=FlexVarJM&version=0.1.0" data-mini-rdoc="FlexVarJM::antoine.barbieri@u-bordeaux.fr">antoine.barbieri@u-bordeaux.fr</a></li>
<li>Hélène Jacqmin-Gadda <a href="/link/helene.jacqmin-gadda%40u-bordeaux.fr?package=FlexVarJM&version=0.1.0" data-mini-rdoc="FlexVarJM::helene.jacqmin-gadda@u-bordeaux.fr">helene.jacqmin-gadda@u-bordeaux.fr</a></li>
</ul>

Author

Estimation of mixed models including a subject-specific variance which can be time and covariate dependent. In the joint model framework, the package handles left truncation and allows a flexible dependence structure between the competing events and the longitudinal marker. The estimation is performed under the frequentist framework, using the Marquardt-Levenberg algorithm. (Courcoul, Tzourio, Woodward, Barbieri, Jacqmin-Gadda (2023) <a href='https://arxiv.org/abs/2306.16785'>arXiv:2306.16785</a>).

FlexVarJM: Estimate Joint Models with Subject-Specific Variance — FlexVarJM-package

Maintainer: Léonie Courcoul <a href='mailto:leonie.courcoul@u-bordeaux.fr'>leonie.courcoul@u-bordeaux.fr</a>
Authors:<ul>
<li>Antoine Barbieri <a href='mailto:antoine.barbieri@u-bordeaux.fr'>antoine.barbieri@u-bordeaux.fr</a></li>
<li>Hélène Jacqmin-Gadda <a href='mailto:helene.jacqmin-gadda@u-bordeaux.fr'>helene.jacqmin-gadda@u-bordeaux.fr</a></li>
</ul>

FlexVarJM-package: FlexVarJM: Estimate Joint Models with Subject-Specific Variance

Description

Arguments

Author

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