devtools

R package devtools: Tools to Make Developing R Packages Easier. Collection of package development tools.

Keywords for this software

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References in zbMATH (referenced in 37 articles )

Showing results 21 to 37 of 37.
Sorted by year (citations)
  1. Leopoldo Catania; Nima Nonejad: Dynamic Model Averaging for Practitioners in Economics and Finance: The eDMA Package (2018) not zbMATH
  2. M. Cristina Heredia-Gómez; Salvador García; Pedro Antonio Gutiérrez; Francisco Herrera: OCAPIS: R package for Ordinal Classification And Preprocessing In Scala (2018) arXiv
  3. Richard Beare; Bradley Lowekamp; Ziv Yaniv: Image Segmentation, Registration and Characterization in R with SimpleITK (2018) not zbMATH
  4. Andrew Zammit-Mangion, Noel Cressie: FRK: An R Package for Spatial and Spatio-Temporal Prediction with Large Datasets (2017) arXiv
  5. Baumer, Benjamin S.; Kaplan, Daniel T.; Horton, Nicholas J.: Modern data science with R (2017)
  6. Gabriel Becker, Cory Barr, Robert Gentleman, Michael Lawrence: Enhancing Reproducibility and Collaboration via Management of R Package Cohorts (2017) not zbMATH
  7. Templ, Matthias: Statistical disclosure control for microdata. Methods and applications in R (2017)
  8. Tomáš Sieger and Catherine Hurley and Karel Fišer and Claudia Beleites: Interactive Dendrograms: The R Packages idendro and idendr0 (2017) not zbMATH
  9. Allon, A.S., Luria, R.: prepdat - An R Package for Preparing Experimental Data for Statistical Analysis (2016) not zbMATH
  10. Ángel M. García, Francisco Charte, Pedro González, Cristóbal J. Carmona, María J. del Jesus: Subgroup Discovery with Evolutionary Fuzzy Systems in R: The SDEFSR Package (2016) not zbMATH
  11. Philipp H Boersch-Supan, Leah R Johnson: deBInfer: Bayesian inference for dynamical models of biological systems in R (2016) arXiv
  12. Tobias Kley: Quantile-Based Spectral Analysis in an Object-Oriented Framework and a Reference Implementation in R: The quantspec Package (2016) not zbMATH
  13. Leha, Andreas: Statistical methods to enhance clinical prediction with high-dimensional data and ordinal response (2015)
  14. Tim Appelhans; Florian Detsch; Thomas Nauss: remote: Empirical Orthogonal Teleconnections in R (2015) not zbMATH
  15. Gandrud, Christopher: Reproducible research with R and RStudio (2014)
  16. Henelius, Andreas; Puolamäki, Kai; Boström, Henrik; Asker, Lars; Papapetrou, Panagiotis: A peek into the black box: exploring classifiers by randomization (2014) ioport
  17. Kley, Tobias: Quantile-based spectral analysis: asymptotic theory and computation (2014)