tidyverse

R package tidyverse: Easily Install and Load ’Tidyverse’ Packages. The ’tidyverse’ is a set of packages that work in harmony because they share common data representations and ’API’ design. This package is designed to make it easy to install and load multiple ’tidyverse’ packages in a single step. Learn more about the ’tidyverse’ at <https://github.com/hadley/tidyverse>.


References in zbMATH (referenced in 36 articles )

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  1. Anders Granholm, Aksel Karl Georg Jensen, Theis Lange, Benjamin Skov Kaas-Hansen: adaptr: an R package for simulating and comparing adaptive clinical trials (2022) not zbMATH
  2. Edgar Santos-Fernandez, Jay M. Ver Hoef, James M. McGree, Daniel J. Isaak, Kerrie Mengersen, Erin E. Peterson: SSNbayes: An R package for Bayesian spatio-temporal modelling on stream networks (2022) arXiv
  3. Santos-Fernandez, Edgar; Denti, Francesco; Mengersen, Kerrie; Mira, Antonietta: The role of intrinsic dimension in high-resolution player tracking data -- insights in basketball (2022)
  4. Adithi R. Upadhya, Pratyush Agrawal, Sreekanth Vakacherla, Meenakshi Kushwaha: pollucheck v1.0: A package to explore open-source air pollution data (2021) not zbMATH
  5. A. Grant Schissler, Edward J. Bedrick, Alexander D. Knudson, Tomasz J. Kozubowski, Tin Nguyen, Juli Petereit, Walter W. Piegorsch, Duc Tran: Simulating High-Dimensional Multivariate Data using the bigsimr R Package (2021) arXiv
  6. Akalin, Altuna: Computational genomics with R. With the assistance of Verdan Franke, Bora Uyar and Jonathan Ronen (2021)
  7. Christian Thiele; Gerrit Hirschfeld: cutpointr: Improved Estimation and Validation of Optimal Cutpoints in R (2021) not zbMATH
  8. Director, Hannah M.; Raftery, Adrian E.; Bitz, Cecilia M.: Probabilistic forecasting of the Arctic sea ice edge with contour modeling (2021)
  9. Hansen Johnson, Daniel Morrison, Christopher Taggart: WhaleMap: a tool to collate and display whale survey results in near real-time (2021) not zbMATH
  10. Indrajeet Patil: Visualizations with statistical details: The ggstatsplot approach (2021) not zbMATH
  11. Indrajeet Patil: statsExpressions: R Package for Tidy Dataframes and Expressions with Statistical Details (2021) not zbMATH
  12. McDonald, Daniel J.; McBride, Michael; Gu, Yupeng; Raphael, Christopher: Markov-switching state space models for uncovering musical interpretation (2021)
  13. Paul-Christian Burkner: Bayesian Item Response Modeling in R with brms and Stan (2021) not zbMATH
  14. Paynter, Alex; Willis, Amy D.: Tuning parameter selection for a penalized estimator of species richness (2021)
  15. Bürkner, Paul-Christian; Gabry, Jonah; Vehtari, Aki: Approximate leave-future-out cross-validation for Bayesian time series models (2020)
  16. Chambaz, Antoine; Benkeser, David: A ride in targeted learning territory (2020)
  17. Dayal, Vikram: Quantitative economics with R. A data science approach (2020)
  18. Homrighausen, Darren; McDonald, Daniel J.: Compressed and penalized linear regression (2020)
  19. Irizarry, Rafael A.: Introduction to data science. Data analysis and prediction algorithms with R (2020)
  20. Kauê de Sousa, Adam H. Sparks, William Ashmall, Jacob van Etten, Svein Ø. Solberg: chirps: API Client for the CHIRPS Precipitation Data in R (2020) not zbMATH

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