Bibliografía

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Barrett, Tyson, Matt Dowle, Arun Srinivasan, Jan Gorecki, Michael Chirico, Toby Hocking, and Benjamin Schwendinger, 2024. «Data.table: Extension of ‘Data.frame‘». https://CRAN.R-project.org/package=data.table.

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Binder, Martin, Florian Pfisterer, Michel Lang, Lennart Schneider, Lars Kotthoff, and Bernd Bischl, 2021. “Mlr3pipelines - Flexible Machine Learning Pipelines in r.” Journal of Machine Learning Research 22 (184): 1–7. https://jmlr.org/papers/v22/21-0281.html.

Breidaks, Juris, Martins Liberts, and Santa Ivanova, 2020. Vardpoor: Estimation of Indicators on Social Exclusion and Poverty and Its Linearization, Variance Estimation. Riga, Latvia: Central Statistical Bureau of Latvia. https://csblatvia.github.io/vardpoor/.

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Freedman Ellis, Greg, and Ben Schneider, 2024. Srvyr: ’Dplyr’-Like Syntax for Summary Statistics of Survey Data. https://CRAN.R-project.org/package=srvyr.

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Kluyver, Thomas, Benjamin Ragan-Kelley, Fernando Pérez, Brian Granger, Matthias Bussonnier, Jonathan Frederic, Kyle Kelley, et al., 2024. Jupyter Notebook. https://jupyter.org/.

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Kozlowski, Diego, Pablo Tiscornia, Guido Weksler, German Rosati, and Natsumi Shokida, 2020. Eph: Argentina’s Permanent Household Survey Data and Manipulation Utilities. https://holatam.github.io/eph/.

Kuhn, Max, Hadley Wickham, and Emil Hvitfeldt, 2024. Recipes: Preprocessing and Feature Engineering Steps for Modeling. https://github.com/tidymodels/recipes.

Landau, William Michael, 2018. “The Drake r Package: A Pipeline Toolkit for Reproducibility and High-Performance Computing.” Journal of Open Source Software 3 (21). https://doi.org/10.21105/joss.00550.

———, 2021. “The Targets r Package: A Dynamic Make-Like Function-Oriented Pipeline Toolkit for Reproducibility and High-Performance Computing.” Journal of Open Source Software 6 (57): 2959. https://doi.org/10.21105/joss.02959.

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———, 2024. “Survey: Analysis of Complex Survey Samples,” 2024.

Mailund, Thomas, 2017. Advanced Object-Oriented Programming in r: Statistical Programming for Data Science, Analysis and Finance. SPRINGER.

Mathieu, Gabriela, Richard Detomasi, Tati Micheletti, and Instituto Nacional de Estadistica, Uruguay (INE), 2020. “Ech: Caja de Herramientas Para Procesar La Encuesta Continua de Hogares,” 2020. https://github.com/calcita/ech.

Mitchell, Margaret, Simone Wu, Andrew Zaldivar, Parker Barnes, Lucy Vasserman, Ben Hutchinson, Elena Spitzer, Inioluwa Deborah Raji, and Timnit Gebru, 2019. “Model Cards for Model Reporting.” In, 220–29. https://doi.org/10.1145/3287560.3287596.

Prabhu, Anirudh, and Peter Fox, 2020. “Reproducible Workflow,” 2020. http://arxiv.org/abs/2012.13427.

R Core Team, 2023. Foreign: Read Data Stored by ’Minitab’, ’s’, ’SAS’, ’SPSS’, ’Stata’, ’Systat’, ’Weka’, ’dBase’, ... https://CRAN.R-project.org/package=foreign.

———, 2023. R: A Language and Environment for Statistical Computing. Vienna, Austria: R Foundation for Statistical Computing. https://www.R-project.org/.

rOpenSci, Brooke Anderson, Scott Chamberlain, Laura DeCicco, Julia Gustavsen, Anna Krystalli, Mauro Lepore, et al., 2024. “rOpenSci Packages: Development, Maintenance, and Peer Review.” Zenodo. https://doi.org/10.5281/zenodo.10797633.

Sandve, Geir Kjetil, Anton Nekrutenko, James Taylor, and Eivind Hovig, 2013. “Ten Simple Rules for Reproducible Computational Research.” PLOS Computational Biology 9 (10): e1003285. https://doi.org/10.1371/journal.pcbi.1003285.

Särndal, 1992. Model Assisted Survey Sampling. Springer.

Schauberger, Philipp, and Alexander Walker. 2024. Openxlsx: Read, Write and Edit Xlsx Files. https://CRAN.R-project.org/package=openxlsx.

Schneider, Benjamin, 2023. “Svrep: Tools for Creating, Updating, and Analyzing Survey Replicate Weights,” 2023. https://CRAN.R-project.org/package=svrep.

Stodden, Victoria, Friedrich Leisch, and Roger D. Peng, 2014. Implementing Reproducible Research. CRC Press.

Thomas Mailund, 2017. Metaprogramming in r. 1st ed. Apress. https://www.amazon.com/Metaprogramming-Advanced-Statistical-Programming-Analysis/dp/1484228804.

Ushey, Kevin, and Hadley Wickham, 2023. Renv: Project Environments. https://CRAN.R-project.org/package=renv.

Valliant, Richard, Alan Dorfman, and Richard Royall, 2000. “Finite Population Sampling and Inference,” 2000.

Vargas, Mauricio, 2024. Casen: Metodos de Estimacion Con Disenio Probabilistico y Estratificado En Encuesta CASEN (Estimation Methods with Probabilistic Stratified Sampling in CASEN Survey). https://pacha.dev/casen/.

Vilhuber, Lars, 2020. “Reproducibility and Replicability in Economics.” Harvard Data Science Review 2 (4). https://doi.org/10.1162/99608f92.4f6b9e67.

Walker, Kyle, and Matt Herman, 2024. Tidycensus: Load US Census Boundary and Attribute Data as ’Tidyverse’ and ’Sf’-Ready Data Frames. https://walker-data.com/tidycensus/.

Wickham, Hadley, 2019. Advanced r, Second Edition. CRC Press.

———, 2023. Httr: Tools for Working with URLs and HTTP. https://CRAN.R-project.org/package=httr.

———, 2011. “Testthat: Get Started with Testing.” The R Journal 3 (, 2011): 5–10. https://journal.r-project.org/archive/2011-1/RJournal_2011-1_Wickham.pdf.

Wickham, Hadley, and Jennifer Bryan. 2023. R Packages. 2nd ed. https://r-pkgs.org/.

Wickham, Hadley, Jennifer Bryan, Malcolm Barrett, and Andy Teucher, 2024. Usethis: Automate Package and Project Setup. https://CRAN.R-project.org/package=usethis.

Wickham, Hadley, Peter Danenberg, Gábor Csárdi, and Manuel Eugster, 2024. Roxygen2: In-Line Documentation for R. https://roxygen2.r-lib.org/.

Wickham, Hadley, Jay Hesselberth, Maëlle Salmon, Olivier Roy, and Salim Brüggemann, 2024. Pkgdown: Make Static HTML Documentation for a Package. https://CRAN.R-project.org/package=pkgdown.

Wickham, Hadley, Jim Hester, Winston Chang, and Jennifer Bryan, 2022. Devtools: Tools to Make Developing r Packages Easier. https://CRAN.R-project.org/package=devtools.

Wickham, Hadley, Evan Miller, and Danny Smith, 2023. Haven: Import and Export ’SPSS’, ’Stata’ and ’SAS’ Files. https://CRAN.R-project.org/package=haven.