Attali, Dean. 2021.
Shinyjs: Easily Improve the User Experience of
Your Shiny Apps in Seconds.
https://deanattali.com/shinyjs/.
Attali, Dean, and Tristan Edwards. 2021.
Shinyalert: Easily Create
Pretty Popup Messages (Modals) in Shiny.
https://github.com/daattali/shinyalert
https://daattali.com/shiny/shinyalert-demo/.
Bailey, Eric. 2022.
shinyBS: Twitter Bootstrap Components for
Shiny.
https://ebailey78.github.io/shinyBS.
Chang, Winston. 2021.
Shinythemes: Themes for Shiny.
https://rstudio.github.io/shinythemes/.
Chang, Winston, Joe Cheng, JJ Allaire, Carson Sievert, Barret Schloerke,
Yihui Xie, Jeff Allen, Jonathan McPherson, Alan Dipert, and Barbara
Borges. 2022.
Shiny: Web Application Framework for r.
https://shiny.rstudio.com/.
Csardi, Gabor, Kuba Podgorski, and Rich Geldreich. 2023.
Zip:
Cross-Platform Zip Compression.
https://github.com/r-lib/zip#readme.
Grolemund, Garrett, and Hadley Wickham. 2011.
“Dates and Times
Made Easy with lubridate.”
Journal of Statistical Software 40 (3): 1–25.
https://www.jstatsoft.org/v40/i03/.
Larmarange, Joseph. 2023.
Labelled: Manipulating Labelled Data.
https://larmarange.github.io/labelled/.
Muller, Kirill. 2023.
Hms: Pretty Time of Day.
https://CRAN.R-project.org/package=hms.
Nijs, Vincent, Forest Fang, Trestle Technology, LLC, and Jeff Allen.
2022.
shinyAce: Ace Editor Bindings for Shiny.
https://CRAN.R-project.org/package=shinyAce.
Pebesma, Edzer. 2018.
“Simple Features for R:
Standardized Support for Spatial Vector Data.”
The R Journal 10 (1): 439–46.
https://doi.org/10.32614/RJ-2018-009.
———. 2023.
Sf: Simple Features for r.
https://CRAN.R-project.org/package=sf.
Pebesma, Edzer, and Roger Bivand. 2023.
Spatial
Data Science: With applications in R.
Chapman and
Hall/CRC.
https://r-spatial.org/book/.
R Core Team. 2022.
R: A Language and Environment for Statistical
Computing. Vienna, Austria: R Foundation for Statistical Computing.
https://www.R-project.org/.
Sali, Andras, and Dean Attali. 2020.
Shinycssloaders: Add Loading
Animations to a Shiny Output While It’s Recalculating.
https://github.com/daattali/shinycssloaders.
Schauberger, Philipp, and Alexander Walker. 2023.
Openxlsx: Read,
Write and Edit Xlsx Files.
https://CRAN.R-project.org/package=openxlsx.
Spinu, Vitalie, Garrett Grolemund, and Hadley Wickham. 2023.
Lubridate: Make Dealing with Dates a Little Easier.
https://CRAN.R-project.org/package=lubridate.
Walker, Kyle. 2023.
Tigris: Load Census TIGER/Line Shapefiles.
https://github.com/walkerke/tigris.
Walker, Kyle, and Matt Herman. 2023.
Tidycensus: Load US Census
Boundary and Attribute Data as Tidyverse and Sf-Ready Data Frames.
https://walker-data.com/tidycensus/.
Wickham, Hadley. 2023.
Tidyverse: Easily Install and Load the
Tidyverse.
https://CRAN.R-project.org/package=tidyverse.
Wickham, Hadley, Mara Averick, Jennifer Bryan, Winston Chang, Lucy
D’Agostino McGowan, Romain Françoi, Garrett Grolemun, et al. 2019.
“Welcome to the tidyverse.”
Journal of Open Source Software 4 (43): 1686.
https://doi.org/10.21105/joss.01686.
Xie, Yihui, Joe Cheng, and Xianying Tan. 2023.
DT: A Wrapper of the
JavaScript Library DataTables.
https://github.com/rstudio/DT.