Chapter 8 Package Citations

library(grateful)
pkgs <- cite_packages(output = "table", out.dir = ".", cite.tidyverse = TRUE, dependencies = TRUE)
knitr::kable(pkgs)

Package	Version	Citation
abind	1.4.5	Plate and Heiberger (2016)
arrayhelpers	1.1.0	Beleites (2020)
backports	1.5.0	Michel Lang, Murdoch, and R Core Team (2024)
base	4.4.1	R Core Team (2024)
base64enc	0.1.3	Urbanek (2015)
bayesplot	1.11.1	Gabry et al. (2019); Gabry and Mahr (2024)
BH	1.84.0.0	Eddelbuettel, Emerson, and Kane (2024)
bit	4.5.0	Oehlschlägel (2024a)
bit64	4.5.2	Oehlschlägel (2024b)
bookdown	0.41	Xie (2016); Xie (2024a)
bridgesampling	1.1.2	Gronau, Singmann, and Wagenmakers (2020)
brms	2.21.0	Bürkner (2017); Bürkner (2018); Bürkner (2021)
Brobdingnag	1.2.9	Hankin (2007)
bslib	0.7.0	Sievert, Cheng, and Aden-Buie (2024)
cachem	1.1.0	Chang (2024a)
callr	3.7.6	Csárdi and Chang (2024a)
causaldata	0.1.4	Huntington-Klein and Barrett (2024)
checkmate	2.3.1	Michel Lang (2017)
chk	0.9.2	Thorley, Müller, and Pearson (2024)
clipr	0.8.0	Lincoln (2022)
cobalt	4.5.5	Greifer (2024)
coda	0.19.4.1	Plummer et al. (2006)
colorspace	2.1.0	Zeileis, Hornik, and Murrell (2009); Stauffer et al. (2009); Zeileis et al. (2020)
cpp11	0.4.7	Vaughan, Hester, and François (2023)
crayon	1.5.3	Csárdi (2024)
data.table	1.15.4	Barrett et al. (2024)
desc	1.4.3	Csárdi, Müller, and Hester (2023)
digest	0.6.35	Antoine Lucas et al. (2024)
distributional	0.4.0	O’Hara-Wild, Kay, and Hayes (2024)
emmeans	1.10.5	R. V. Lenth (2024)
estimability	1.5.1	R. Lenth (2024)
evaluate	0.24.0	H. Wickham and Xie (2024)
fansi	1.0.6	Gaslam (2023)
farver	2.1.2	Pedersen, Nicolae, and François (2024)
fastmap	1.2.0	Chang (2024b)
fontawesome	0.5.2	Iannone (2023)
foreach	1.5.2	Microsoft and Weston (2022)
fs	1.6.4	Hester, Wickham, and Csárdi (2024)
future	1.33.2	Bengtsson (2021)
future.apply	1.11.2	Bengtsson (2021)
generics	0.1.3	H. Wickham, Kuhn, and Vaughan (2022)
ggdist	3.3.2	Kay (2024b); Kay (2024a)
ggridges	0.5.6	Wilke (2024)
glmnet	4.1.8	Friedman, Tibshirani, and Hastie (2010); Simon et al. (2011); Tay, Narasimhan, and Hastie (2023)
globals	0.16.3	Bengtsson (2024a)
glue	1.7.0	Hester and Bryan (2024)
gridExtra	2.3	Auguie (2017)
gtable	0.3.5	H. Wickham and Pedersen (2024)
highr	0.11	Xie and Qiu (2024)
htmltools	0.5.8.1	Cheng, Sievert, et al. (2024)
inline	0.3.19	Sklyar et al. (2021)
insight	0.20.5	Lüdecke, Waggoner, and Makowski (2019)
isoband	0.2.7	H. Wickham, Wilke, and Pedersen (2022)
iterators	1.0.14	Analytics and Weston (2022)
jomo	2.7.6	Quartagno and Carpenter (2023)
jquerylib	0.1.4	Sievert and Cheng (2021)
knitr	1.47	Xie (2014); Xie (2015); Xie (2024b)
labeling	0.4.3	Justin Talbot (2023)
lifecycle	1.0.4	Henry and Wickham (2023)
listenv	0.9.1	Bengtsson (2024b)
lme4	1.1.35.4	Bates et al. (2015)
loo	2.7.0.9000	Vehtari, Gelman, and Gabry (2017); Yao et al. (2017); Vehtari et al. (2024)
marginaleffects	0.23.0	Arel-Bundock, Greifer, and Heiss (Forthcoming)
matrixStats	1.3.0	Bengtsson (2024c)
memoise	2.0.1	H. Wickham et al. (2021)
mice	3.16.0	van Buuren and Groothuis-Oudshoorn (2011)
mime	0.12	Xie (2021)
minqa	1.2.7	Bates et al. (2024)
mitml	0.4.5	Grund, Robitzsch, and Luedtke (2023)
munsell	0.5.1	C. Wickham (2024)
mvtnorm	1.2.5	Genz and Bretz (2009)
nleqslv	3.3.5	Hasselman (2023)
nloptr	2.1.1	S. G. Johnson (2008)
numDeriv	2016.8.1.1	Gilbert and Varadhan (2019)
ordinal	2023.12.4.1	Christensen (2023)
pan	1.9	Zhao and Schafer (2023)
parallelly	1.37.1	Bengtsson (2024d)
patchwork	1.3.0	Pedersen (2024)
pkgbuild	1.4.4	H. Wickham, Hester, and Csárdi (2024)
pkgconfig	2.0.3	Csárdi (2019)
plyr	1.8.9	H. Wickham (2011)
posterior	1.5.0.9000	Vehtari et al. (2021); Bürkner et al. (2023)
prettyunits	1.2.0	Csardi (2023)
processx	3.8.4	Csárdi and Chang (2024b)
progress	1.2.3	Csárdi and FitzJohn (2023)
ps	1.7.6	Loden et al. (2024)
quadprog	1.5.8	Berwin A. Turlach R port by Andreas Weingessel <Andreas.Weingessel@ci.tuwien.ac.at> Fortran contributions from Cleve Moler dpodi/LINPACK) (2019)
QuickJSR	1.2.2	A. R. Johnson (2024)
R6	2.5.1	Chang (2021)
rappdirs	0.3.3	Ratnakumar, Mick, and Davis (2021)
RColorBrewer	1.1.3	Neuwirth (2022)
Rcpp	1.0.12	Eddelbuettel and François (2011); Eddelbuettel (2013); Eddelbuettel and Balamuta (2018); Eddelbuettel et al. (2024)
RcppEigen	0.3.4.0.0	Bates and Eddelbuettel (2013)
RcppParallel	5.1.7	Allaire et al. (2023)
remotes	2.5.0	Csárdi et al. (2024)
renv	1.0.11	Ushey and Wickham (2024)
reshape2	1.4.4	H. Wickham (2007)
rmarkdown	2.27	Xie, Allaire, and Grolemund (2018); Xie, Dervieux, and Riederer (2020); Allaire et al. (2024)
rstan	2.35.0.9000	Stan Development Team (n.d.)
rstantools	2.4.0	Gabry et al. (2024)
sandwich	3.1.1	Zeileis (2004); Zeileis (2006); Zeileis, Köll, and Graham (2020)
sass	0.4.9	Cheng, Mastny, et al. (2024)
scales	1.3.0	H. Wickham, Pedersen, and Seidel (2023)
shape	1.4.6.1	Soetaert (2024)
StanHeaders	2.35.0.9000	Stan Development Team (2020)
stringi	1.8.4	Gagolewski (2022)
svUnit	1.0.6	Grosjean (2024)
tensorA	0.36.2.1	van den Boogaart (2023)
tidybayes	3.0.6	Kay (2023)
tidyselect	1.2.1	Henry and Wickham (2024)
tidyverse	2.0.0	H. Wickham et al. (2019)
tinytex	0.51	Xie (2019); Xie (2024c)
tzdb	0.4.0	Vaughan (2023)
ucminf	1.2.2	Nielsen and Mortensen (2024)
utf8	1.2.4	Perry (2023)
vctrs	0.6.5	H. Wickham, Henry, and Vaughan (2023)
viridisLite	0.4.2	Garnier et al. (2023)
vroom	1.6.5	Hester, Wickham, and Bryan (2023)
withr	3.0.0	Hester et al. (2024)
xfun	0.48	Xie (2024d)
xtable	1.8.4	Dahl et al. (2019)
yaml	2.3.8	Garbett et al. (2023)
zoo	1.8.12	Zeileis and Grothendieck (2005)

Allaire, JJ, Romain Francois, Kevin Ushey, Gregory Vandenbrouck, Marcus Geelnard, and Intel. 2023. RcppParallel: Parallel Programming Tools for “Rcpp”. https://CRAN.R-project.org/package=RcppParallel.

Allaire, JJ, Yihui Xie, Christophe Dervieux, Jonathan McPherson, Javier Luraschi, Kevin Ushey, Aron Atkins, et al. 2024. rmarkdown: Dynamic Documents for r. https://github.com/rstudio/rmarkdown.

Analytics, Revolution, and Steve Weston. 2022. iterators: Provides Iterator Construct. https://CRAN.R-project.org/package=iterators.

Antoine Lucas, Dirk Eddelbuettel with contributions by, Jarek Tuszynski, Henrik Bengtsson, Simon Urbanek, Mario Frasca, Bryan Lewis, Murray Stokely, et al. 2024. digest: Create Compact Hash Digests of r Objects. https://CRAN.R-project.org/package=digest.

Arel-Bundock, Vincent, Noah Greifer, and Andrew Heiss. Forthcoming. “How to Interpret Statistical Models Using marginaleffects in R and Python.” Journal of Statistical Software, Forthcoming. https://marginaleffects.com.

Auguie, Baptiste. 2017. gridExtra: Miscellaneous Functions for “Grid” Graphics. https://CRAN.R-project.org/package=gridExtra.

Barrett, Tyson, Matt Dowle, Arun Srinivasan, Jan Gorecki, Michael Chirico, and Toby Hocking. 2024. data.table: Extension of “data.frame”. https://CRAN.R-project.org/package=data.table.

Bates, Douglas, and Dirk Eddelbuettel. 2013. “Fast and Elegant Numerical Linear Algebra Using the RcppEigen Package.” Journal of Statistical Software 52 (5): 1–24. https://doi.org/10.18637/jss.v052.i05.

Bates, Douglas, Martin Mächler, Ben Bolker, and Steve Walker. 2015. “Fitting Linear Mixed-Effects Models Using lme4.” Journal of Statistical Software 67 (1): 1–48. https://doi.org/10.18637/jss.v067.i01.

Bates, Douglas, Katharine M. Mullen, John C. Nash, and Ravi Varadhan. 2024. minqa: Derivative-Free Optimization Algorithms by Quadratic Approximation. https://CRAN.R-project.org/package=minqa.

Beleites, C. 2020. arrayhelpers: Convenience Functions for Arrays. https://CRAN.R-project.org/package=arrayhelpers.

Bengtsson, Henrik. 2021. “A Unifying Framework for Parallel and Distributed Processing in r Using Futures.” The R Journal 13 (2): 208–27. https://doi.org/10.32614/RJ-2021-048.

———. 2024a. globals: Identify Global Objects in r Expressions. https://CRAN.R-project.org/package=globals.

———. 2024b. listenv: Environments Behaving (Almost) as Lists. https://CRAN.R-project.org/package=listenv.

———. 2024c. matrixStats: Functions That Apply to Rows and Columns of Matrices (and to Vectors). https://CRAN.R-project.org/package=matrixStats.

———. 2024d. parallelly: Enhancing the “parallel” Package. https://CRAN.R-project.org/package=parallelly.

Berwin A. Turlach R port by Andreas Weingessel <Andreas.Weingessel@ci.tuwien.ac.at> Fortran contributions from Cleve Moler dpodi/LINPACK), S original by. 2019. quadprog: Functions to Solve Quadratic Programming Problems. https://CRAN.R-project.org/package=quadprog.

Bürkner, Paul-Christian. 2017. “brms: An R Package for Bayesian Multilevel Models Using Stan.” Journal of Statistical Software 80 (1): 1–28. https://doi.org/10.18637/jss.v080.i01.

———. 2018. “Advanced Bayesian Multilevel Modeling with the R Package brms.” The R Journal 10 (1): 395–411. https://doi.org/10.32614/RJ-2018-017.

———. 2021. “Bayesian Item Response Modeling in R with brms and Stan.” Journal of Statistical Software 100 (5): 1–54. https://doi.org/10.18637/jss.v100.i05.

Bürkner, Paul-Christian, Jonah Gabry, Matthew Kay, and Aki Vehtari. 2023. “posterior: Tools for Working with Posterior Distributions.” https://mc-stan.org/posterior/.

Chang, Winston. 2021. R6: Encapsulated Classes with Reference Semantics. https://CRAN.R-project.org/package=R6.

———. 2024a. cachem: Cache r Objects with Automatic Pruning. https://CRAN.R-project.org/package=cachem.

———. 2024b. fastmap: Fast Data Structures. https://CRAN.R-project.org/package=fastmap.

Cheng, Joe, Timothy Mastny, Richard Iannone, Barret Schloerke, and Carson Sievert. 2024. sass: Syntactically Awesome Style Sheets (“Sass”). https://CRAN.R-project.org/package=sass.

Cheng, Joe, Carson Sievert, Barret Schloerke, Winston Chang, Yihui Xie, and Jeff Allen. 2024. htmltools: Tools for HTML. https://CRAN.R-project.org/package=htmltools.

Christensen, Rune H. B. 2023. Ordinal—Regression Models for Ordinal Data. https://CRAN.R-project.org/package=ordinal.

Cohen, Jessica, Pascaline Dupas, and Simone Schaner. 2015. “Price Subsidies, Diagnostic Tests, and Targeting of Malaria Treatment: Evidence from a Randomized Controlled Trial.” American Economic Review 105 (2): 609–45.

Csardi, Gabor. 2023. prettyunits: Pretty, Human Readable Formatting of Quantities. https://CRAN.R-project.org/package=prettyunits.

Csárdi, Gábor. 2019. pkgconfig: Private Configuration for “R” Packages. https://CRAN.R-project.org/package=pkgconfig.

———. 2024. crayon: Colored Terminal Output. https://CRAN.R-project.org/package=crayon.

Csárdi, Gábor, and Winston Chang. 2024a. callr: Call r from r. https://CRAN.R-project.org/package=callr.

———. 2024b. processx: Execute and Control System Processes. https://CRAN.R-project.org/package=processx.

Csárdi, Gábor, and Rich FitzJohn. 2023. progress: Terminal Progress Bars. https://CRAN.R-project.org/package=progress.

Csárdi, Gábor, Jim Hester, Hadley Wickham, Winston Chang, Martin Morgan, and Dan Tenenbaum. 2024. remotes: R Package Installation from Remote Repositories, Including “GitHub”. https://CRAN.R-project.org/package=remotes.

Csárdi, Gábor, Kirill Müller, and Jim Hester. 2023. desc: Manipulate DESCRIPTION Files. https://CRAN.R-project.org/package=desc.

Dahl, David B., David Scott, Charles Roosen, Arni Magnusson, and Jonathan Swinton. 2019. xtable: Export Tables to LaTeX or HTML. https://CRAN.R-project.org/package=xtable.

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 R with C++: A Brief Introduction to Rcpp.” The American Statistician 72 (1): 28–36. https://doi.org/10.1080/00031305.2017.1375990.

Eddelbuettel, Dirk, John W. Emerson, and Michael J. Kane. 2024. BH: Boost c++ Header Files. https://CRAN.R-project.org/package=BH.

Eddelbuettel, Dirk, Romain Francois, JJ Allaire, Kevin Ushey, Qiang Kou, Nathan Russell, Inaki Ucar, Douglas Bates, and John Chambers. 2024. 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.

Friedman, Jerome, Robert Tibshirani, and Trevor Hastie. 2010. “Regularization Paths for Generalized Linear Models via Coordinate Descent.” Journal of Statistical Software 33 (1): 1–22. https://doi.org/10.18637/jss.v033.i01.

Gabry, Jonah, Ben Goodrich, Martin Lysy, and Andrew Johnson. 2024. rstantools: Tools for Developing r Packages Interfacing with “Stan”. https://CRAN.R-project.org/package=rstantools.

Gabry, Jonah, and Tristan Mahr. 2024. “bayesplot: Plotting for Bayesian Models.” https://mc-stan.org/bayesplot/.

Gabry, Jonah, Daniel Simpson, Aki Vehtari, Michael Betancourt, and Andrew Gelman. 2019. “Visualization in Bayesian Workflow.” J. R. Stat. Soc. A 182: 389–402. https://doi.org/10.1111/rssa.12378.

Gagolewski, Marek. 2022. “stringi: Fast and Portable Character String Processing in R.” Journal of Statistical Software 103 (2): 1–59. https://doi.org/10.18637/jss.v103.i02.

Garbett, Shawn P, Jeremy Stephens, Kirill Simonov, Yihui Xie, Zhuoer Dong, Hadley Wickham, Jeffrey Horner, et al. 2023. yaml: Methods to Convert r Data to YAML and Back. https://CRAN.R-project.org/package=yaml.

Garnier, Simon, Ross, Noam, Rudis, Robert, Camargo, et al. 2023. viridis(Lite) - Colorblind-Friendly Color Maps for r. https://doi.org/10.5281/zenodo.4678327.

Gaslam, Brodie. 2023. fansi: ANSI Control Sequence Aware String Functions. https://CRAN.R-project.org/package=fansi.

Genz, Alan, and Frank Bretz. 2009. Computation of Multivariate Normal and t Probabilities. Lecture Notes in Statistics. Heidelberg: Springer-Verlag.

Gilbert, Paul, and Ravi Varadhan. 2019. numDeriv: Accurate Numerical Derivatives. https://CRAN.R-project.org/package=numDeriv.

Greifer, Noah. 2024. cobalt: Covariate Balance Tables and Plots. https://CRAN.R-project.org/package=cobalt.

Gronau, Quentin F., Henrik Singmann, and Eric-Jan Wagenmakers. 2020. “bridgesampling: An R Package for Estimating Normalizing Constants.” Journal of Statistical Software 92 (10): 1–29. https://doi.org/10.18637/jss.v092.i10.

Grosjean, Philippe. 2024. SciViews-r. MONS, Belgium: UMONS. https://www.sciviews.org/SciViews-R/.

Grund, Simon, Alexander Robitzsch, and Oliver Luedtke. 2023. mitml: Tools for Multiple Imputation in Multilevel Modeling. https://CRAN.R-project.org/package=mitml.

Hankin, R. K. S. 2007. “Very Large Numbers in r: Introducing Package Brobdingnag.” R News 7.

Hasselman, Berend. 2023. nleqslv: Solve Systems of Nonlinear Equations. https://CRAN.R-project.org/package=nleqslv.

Henry, Lionel, and Hadley Wickham. 2023. lifecycle: Manage the Life Cycle of Your Package Functions. https://CRAN.R-project.org/package=lifecycle.

———. 2024. tidyselect: Select from a Set of Strings. https://CRAN.R-project.org/package=tidyselect.

Hester, Jim, and Jennifer Bryan. 2024. glue: Interpreted String Literals. https://CRAN.R-project.org/package=glue.

Hester, Jim, Lionel Henry, Kirill Müller, Kevin Ushey, Hadley Wickham, and Winston Chang. 2024. withr: Run Code “With” Temporarily Modified Global State. https://CRAN.R-project.org/package=withr.

Hester, Jim, Hadley Wickham, and Jennifer Bryan. 2023. vroom: Read and Write Rectangular Text Data Quickly. https://CRAN.R-project.org/package=vroom.

Hester, Jim, Hadley Wickham, and Gábor Csárdi. 2024. fs: Cross-Platform File System Operations Based on “libuv”. https://CRAN.R-project.org/package=fs.

Huntington-Klein, Nick, and Malcolm Barrett. 2024. causaldata: Example Data Sets for Causal Inference Textbooks. https://CRAN.R-project.org/package=causaldata.

Iannone, Richard. 2023. fontawesome: Easily Work with “Font Awesome” Icons. https://CRAN.R-project.org/package=fontawesome.

Johnson, Andrew R. 2024. QuickJSR: Interface for the “QuickJS” Lightweight “JavaScript” Engine. https://CRAN.R-project.org/package=QuickJSR.

Johnson, Steven G. 2008. The NLopt Nonlinear-Optimization Package. https://github.com/stevengj/nlopt.

Justin Talbot. 2023. labeling: Axis Labeling. https://CRAN.R-project.org/package=labeling.

Kay, Matthew. 2023. tidybayes: Tidy Data and Geoms for Bayesian Models. https://doi.org/10.5281/zenodo.1308151.

———. 2024a. ggdist: Visualizations of Distributions and Uncertainty. https://doi.org/10.5281/zenodo.3879620.

———. 2024b. “ggdist: Visualizations of Distributions and Uncertainty in the Grammar of Graphics.” IEEE Transactions on Visualization and Computer Graphics 30 (1): 414–24. https://doi.org/10.1109/TVCG.2023.3327195.

Kurz, A. Solomon. 2023. Statistical Rethinking with Brms, Ggplot2, and the Tidyverse: Second Edition. Version 0.4.0. https://bookdown.org/content/4857/.

Lang, Martin, Benjamin G Purzycki, Coren L Apicella, Quentin D Atkinson, Alexander Bolyanatz, Emma Cohen, Carla Handley, et al. 2019. “Moralizing Gods, Impartiality and Religious Parochialism Across 15 Societies.” Proceedings of the Royal Society B 286 (1898): 20190202.

Lang, Michel. 2017. “checkmate: Fast Argument Checks for Defensive R Programming.” The R Journal 9 (1): 437–45. https://doi.org/10.32614/RJ-2017-028.

Lang, Michel, Duncan Murdoch, and R Core Team. 2024. backports: Reimplementations of Functions Introduced Since r-3.0.0. https://CRAN.R-project.org/package=backports.

Lenth, Russell. 2024. estimability: Tools for Assessing Estimability of Linear Predictions. https://CRAN.R-project.org/package=estimability.

Lenth, Russell V. 2024. emmeans: Estimated Marginal Means, Aka Least-Squares Means. https://CRAN.R-project.org/package=emmeans.

Lincoln, Matthew. 2022. clipr: Read and Write from the System Clipboard. https://CRAN.R-project.org/package=clipr.

Loden, Jay, Dave Daeschler, Giampaolo Rodola’, and Gábor Csárdi. 2024. ps: List, Query, Manipulate System Processes. https://CRAN.R-project.org/package=ps.

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.

McElreath, Richard. 2020. Statistical Rethinking: A Bayesian Course with Examples in R and Stan. Second. CRC Press.

Microsoft, and Steve Weston. 2022. foreach: Provides Foreach Looping Construct. https://CRAN.R-project.org/package=foreach.

Miles, Andrew. 2016. “Obtaining Predictions from Models Fit to Multiply Imputed Data.” Sociological Methods & Research 45 (1): 175–85. https://doi.org/10.1177/0049124115610345.

Neuwirth, Erich. 2022. RColorBrewer: ColorBrewer Palettes. https://CRAN.R-project.org/package=RColorBrewer.

Nielsen, Hans Bruun, and Stig Bousgaard Mortensen. 2024. ucminf: General-Purpose Unconstrained Non-Linear Optimization. https://CRAN.R-project.org/package=ucminf.

O’Hara-Wild, Mitchell, Matthew Kay, and Alex Hayes. 2024. distributional: Vectorised Probability Distributions. https://CRAN.R-project.org/package=distributional.

Oehlschlägel, Jens. 2024a. bit: Classes and Methods for Fast Memory-Efficient Boolean Selections. https://CRAN.R-project.org/package=bit.

———. 2024b. Bit64: A S3 Class for Vectors of 64bit Integers. https://CRAN.R-project.org/package=bit64.

Pedersen, Thomas Lin. 2024. patchwork: The Composer of Plots. https://CRAN.R-project.org/package=patchwork.

Pedersen, Thomas Lin, Berendea Nicolae, and Romain François. 2024. farver: High Performance Colour Space Manipulation. https://CRAN.R-project.org/package=farver.

Perry, Patrick O. 2023. Utf8: Unicode Text Processing. https://CRAN.R-project.org/package=utf8.

Plate, Tony, and Richard Heiberger. 2016. abind: Combine Multidimensional Arrays. https://CRAN.R-project.org/package=abind.

Plummer, Martyn, Nicky Best, Kate Cowles, and Karen Vines. 2006. “CODA: Convergence Diagnosis and Output Analysis for MCMC.” R News 6 (1): 7–11. https://journal.r-project.org/archive/.

Quartagno, Matteo, and James Carpenter. 2023. jomo: A Package for Multilevel Joint Modelling Multiple Imputation. https://CRAN.R-project.org/package=jomo.

R Core Team. 2024. R: A Language and Environment for Statistical Computing. Vienna, Austria: R Foundation for Statistical Computing. https://www.R-project.org/.

Ratnakumar, Sridhar, Trent Mick, and Trevor Davis. 2021. rappdirs: Application Directories: Determine Where to Save Data, Caches, and Logs. https://CRAN.R-project.org/package=rappdirs.

Sievert, Carson, and Joe Cheng. 2021. jquerylib: Obtain “jQuery” as an HTML Dependency Object. https://CRAN.R-project.org/package=jquerylib.

Sievert, Carson, Joe Cheng, and Garrick Aden-Buie. 2024. bslib: Custom “Bootstrap” “Sass” Themes for “shiny” and “rmarkdown”. https://CRAN.R-project.org/package=bslib.

Simon, Noah, Jerome Friedman, Robert Tibshirani, and Trevor Hastie. 2011. “Regularization Paths for Cox’s Proportional Hazards Model via Coordinate Descent.” Journal of Statistical Software 39 (5): 1–13. https://doi.org/10.18637/jss.v039.i05.

Sklyar, Oleg, Duncan Murdoch, Mike Smith, Dirk Eddelbuettel, Romain Francois, Karline Soetaert, and Johannes Ranke. 2021. inline: Functions to Inline c, c++, Fortran Function Calls from r. https://CRAN.R-project.org/package=inline.

Soetaert, Karline. 2024. shape: Functions for Plotting Graphical Shapes, Colors. https://CRAN.R-project.org/package=shape.

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———. n.d. “RStan: The R Interface to Stan.” https://mc-stan.org/.

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References