Bibliografía

Abad, Ricardo Cao. Introducción a La simulación y a La teoría de Colas, 1⪠Ed. NetBiblo S.L., 2002.

Allaire, JJ, Yihui Xie, Jonathan McPherson, Javier Luraschi, Kevin Ushey, Aron Atkins, Hadley Wickham, Joe Cheng, Winston Chang, and Richard Iannone. Rmarkdown: Dynamic Documents for r, 2021. https://CRAN.R-project.org/package=rmarkdown.

Bache, Stefan Milton, and Hadley Wickham. Magrittr: A Forward-Pipe Operator for r, 2022. https://CRAN.R-project.org/package=magrittr.

Canadilla, Pedro. Queueing: Analysis of Queueing Networks and Models, 2019. https://www.r-project.org.

Childs, Dylan Z. APS 135: Introduction to Exploratory Data Analysis with r, 2019. https://dzchilds.github.io/eda-for-bio/.

Ebert, Anthony. Queuecomputer: Computationally Efficient Queue Simulation, 2021. https://github.com/AnthonyEbert/queuecomputer.

Ebert, Anthony, Paul Wu, Kerrie Mengersen, and Fabrizio Ruggeri. “Computationally Efficient Simulation of Queues: The R Package queuecomputer.” Journal of Statistical Software 95, no. 5 (2020): 1–29. https://doi.org/10.18637/jss.v095.i05.

Feldman, Richard M., and Ciriaco Valdez-Flores. Applied Probability and Stochastic Processes. 2nd ed. Berlin ; Springer-Verlag, 2010.

Goicoa, Tomas. RMarkdown básico, 2017. http://www.unavarra.es/personal/tgoicoa/ESTADISTICA_RMarkdown_tomas/basicRmarkdown/index.html.

Grosser, Malte. Tidyverse Cookbook, 2018. https://bookdown.org/Tazinho/Tidyverse-Cookbook/.

Kulkarni, V. G. Introduction to Modeling and Analysis of Stochastic Systems. New York ; Springer Science+Business Media, LLC, 2011.

Mayoral, AM, J Morales, X Barber, and J Aparicio. Apuntes de Teoría de Colas: Simulación y Análisis de Sistemas de Espera. Servicio de publicaciones de la Universidad Miguel Hernández, 2007.

P.Robert, Christian, and George Casella. Introducing Monte Carlo Methods with r. Springer, 2010.

R Core Team. R: A Language and Environment for Statistical Computing. Vienna, Austria: R Foundation for Statistical Computing, 2021. https://www.R-project.org/.

RStudio Team. RStudio: Integrated Development Environment for r. Boston, MA: RStudio, Inc., 2019. http://www.rstudio.com/.

Sabater, José Pedro García. “Aplicando Teoría de Colas En Dirección de Operaciones.” Web, 2016. http://personales.upv.es/jpgarcia/LinkedDocuments/Teoriadecolasdoc.pdf.

Spedicato, Giorgio Alfredo, Tae Seung Kang, Sai Bhargav Yalamanchi, Deepak Yadav, and Ignacio Cordón. Markovchain: Easy Handling Discrete Time Markov Chains, 2021. https://github.com/spedygiorgio/markovchain/.

Ucar, Iñaki, and Bart Smeets. “Simmer.” Web, 2021. https://doi.org/https://doi.org/10.18637/jss.v090.i02.

Ucar, Iñaki, and Bart Smeets. Simmer: Discrete-Event Simulation for r, 2022. https://CRAN.R-project.org/package=simmer.

Ucar, Iñaki, Bart Smeets, and Arturo Azcorra. “simmer: Discrete-Event Simulation for R.” Journal of Statistical Software 90, no. 2 (2019): 1–30. https://doi.org/10.18637/jss.v090.i02.

Wickham, Hadley. Advanced r, 2nd Edition. CRC Press, 2019. https://adv-r.hadley.nz/.

———. Tidyverse: Easily Install and Load the Tidyverse, 2021. https://CRAN.R-project.org/package=tidyverse.

Wickham, Hadley, Mara Averick, Jennifer Bryan, Winston Chang, Lucy D’Agostino McGowan, Romain François, Garrett Grolemund, et al. “Welcome to the tidyverse.” Journal of Open Source Software 4, no. 43 (2019): 1686. https://doi.org/10.21105/joss.01686.

Wickham, Hadley, Winston Chang, Lionel Henry, Thomas Lin Pedersen, Kohske Takahashi, Claus Wilke, Kara Woo, Hiroaki Yutani, and Dewey Dunnington. Ggplot2: Create Elegant Data Visualisations Using the Grammar of Graphics, 2021. https://CRAN.R-project.org/package=ggplot2.

Wickham, Hadley, and Garret Grolemund. R for Data Science, 1st Edition. O’Reilly Media, 2017. https://r4ds.had.co.nz/ , https://es.r4ds.hadley.nz/.

Xie, Yihui, Christophe Dervieux, and Emily Riederer. R Markdown Cookbook. Boca Raton, Florida: Chapman; Hall/CRC, 2020. https://bookdown.org/yihui/rmarkdown-cookbook.