References

Betancourt, Michael. 2020. “Towards a Principled Bayesian Workflow.” https://betanalpha.github.io/assets/case_studies/principled_bayesian_workflow.html.

Buuren, Stef van, and Karin Groothuis-Oudshoorn. 2011. “Mice: Multivariate Imputation by Chained Equations in r” 45: 1–67. https://doi.org/10.18637/jss.v045.i03.

Carroll, Raymond J., David Ruppert, Leonard A. Stefanski, and Ciprian M. Crainiceanu. 2006. Measurement Error in Nonlinear Models: A Modern Perspective. 2. ed. Boca Raton, Fla. u.a.: Chapman & Hall/CRC.

FitzJohn, Rich. 2025. “Storr: Simple Key Value Stores.” https://doi.org/10.32614/CRAN.package.storr.

Linzer, Drew A., and Jeffrey B. Lewis. 2011. “poLCA: An r Package for Polytomous Variable Latent Class Analysis” 42. https://www.jstatsoft.org/v42/i10/.

Michelot, Théo. 2025. “hmmTMB: Hidden markov Models with Flexible Covariate Effects in r” 114. https://doi.org/10.18637/jss.v114.i05.

Pedersen, Thomas Lin. 2025. “Patchwork: The Composer of Plots.” https://doi.org/10.32614/CRAN.package.patchwork.

Sofrygin, Oleg, Mark J. van der Laan, and Romain Neugebauer. 2017. “Simcausal r Package: Conducting Transparent and Reproducible Simulation Studies of Causal Effect Estimation with Complex Longitudinal Data” 81. https://doi.org/10.18637/jss.v081.i02.

Tang, Tiffany, and James Duncan. 2025. “simChef: Intensive Computational Experiments Made Easy.” https://github.com/Yu-Group/simChef.

Wijesuriya, Rushani, Margarita Moreno-Betancur, John B. Carlin, Ian R. White, Matteo Quartagno, and Katherine J. Lee. 2025. “Multiple Imputation for Longitudinal Data: A Tutorial.” Statistics in Medicine 44 (3-4). https://doi.org/10.1002/sim.10274.