Brilleman, SL, MJ Crowther, M Moreno-Betancur, J Buros Novik, and R Wolfe. 2018.
“Joint Longitudinal and Time-to-Event Models via Stan.” https://github.com/stan-dev/stancon_talks/.
Eddelbuettel, Dirk. 2013.
Seamless R and C++ Integration with Rcpp. New York: Springer.
https://doi.org/10.1007/978-1-4614-6868-4.
Eddelbuettel, Dirk, and James Joseph Balamuta. 2018.
“Extending extitR with extitC++: A Brief Introduction to extitRcpp.” The American Statistician 72 (1): 28–36.
https://doi.org/10.1080/00031305.2017.1375990.
Eddelbuettel, Dirk, Romain Francois, JJ Allaire, Kevin Ushey, Qiang Kou, Nathan Russell, Inaki Ucar, Douglas Bates, and John Chambers. 2021.
Rcpp: Seamless r and c++ Integration.
https://CRAN.R-project.org/package=Rcpp.
Eddelbuettel, Dirk, and Romain François. 2011.
“Rcpp: Seamless R and C++ Integration.” Journal of Statistical Software 40 (8): 1–18.
https://doi.org/10.18637/jss.v040.i08.
French, Joshua. 2021. Bayesutils: Utilities for Bayesian Analysis.
Gabry, Jonah, and Ben Goodrich. 2020.
Rstanarm: Bayesian Applied Regression Modeling via Stan.
https://CRAN.R-project.org/package=rstanarm.
Lüdecke, Daniel, Dominique Makowski, Indrajeet Patil, Philip Waggoner, Mattan S. Ben-Shachar, and Brenton M. Wiernik. 2021.
Insight: Easy Access to Model Information for Various Model Objects.
https://easystats.github.io/insight/.
Lüdecke, Daniel, Philip Waggoner, and Dominique Makowski. 2019.
“insight: A Unified Interface to Access Information from Model Objects in R.” Journal of Open Source Software 4 (38): 1412.
https://doi.org/10.21105/joss.01412.
Makowski, Dominique, Mattan S. Ben-Shachar, and Daniel Lüdecke. 2019.
“bayestestR: Describing Effects and Their Uncertainty, Existence and Significance Within the Bayesian Framework.” Journal of Open Source Software 4 (40): 1541.
https://doi.org/10.21105/joss.01541.
Makowski, Dominique, Daniel Lüdecke, Mattan S. Ben-Shachar, Indrajeet Patil, and Michael D. Wilson. 2021.
bayestestR: Understand and Describe Bayesian Models and Posterior Distributions.
https://easystats.github.io/bayestestR/.
R Core Team. 2021.
R: A Language and Environment for Statistical Computing. Vienna, Austria: R Foundation for Statistical Computing.
https://www.R-project.org/.
Wickham, Hadley. 2016.
Ggplot2: Elegant Graphics for Data Analysis. Springer-Verlag New York.
https://ggplot2.tidyverse.org.
Wickham, Hadley, Winston Chang, Lionel Henry, Thomas Lin Pedersen, Kohske Takahashi, Claus Wilke, Kara Woo, Hiroaki Yutani, and Dewey Dunnington. 2021.
Ggplot2: Create Elegant Data Visualisations Using the Grammar of Graphics.
https://CRAN.R-project.org/package=ggplot2.