پیوست ج — بسته‌های R مورد استفاده

عنوان اصلی: R Packages Used
منبع: https://christophm.github.io/interpretable-ml-book/r-packages.html
نویسنده: Christoph Molnar
مترجم: مریم محمودی


بستهنسخهمرجع
base4.4.2R Core Team (2024a)
caret6.0.94Kuhn and Max (2008)
ceterisParibus0.4.2Biecek (2020)
DALEX2.4.3Biecek (2018)
data.table1.16.2Barrett et al. (2024)
e10711.7.16D. Meyer et al. (2024)
GGally2.2.1Schloerke et al. (2024)
glmnet4.1.8Friedman, Tibshirani, and Hastie (2010); Simon et al. (2011); Tay, Narasimhan, and Hastie (2023)
grid4.4.2R Core Team (2024b)
iml0.11.3Molnar, Bischl, and Casalicchio (2018)
infotheo1.2.0.1P. E. Meyer (2022)
interactions1.2.0Long (2024)
jpeg0.1.10Urbanek (2022)
kableExtra1.4.0Zhu (2024)
knitr1.48Xie (2014); Xie (2015); Xie (2024)
latex2exp0.9.6Meschiari (2022)
Metrics0.1.4Hamner and Frasco (2018)
mgcv1.9.1S. N. Wood (2003); S. N. Wood (2004); S. N. Wood (2011); S. N. Wood et al. (2016); S. N. Wood (2017)
nnet7.3.19Venables and Ripley (2002)
OneR2.2von Jouanne-Diedrich (2017)
palmerpenguins0.1.1Horst, Hill, and Gorman (2020)
partykit1.2.22Hothorn, Hornik, and Zeileis (2006); Zeileis, Hothorn, and Hornik (2008); Hothorn and Zeileis (2015)
patchwork1.3.0Pedersen (2024)
pre1.0.7Fokkema (2020)
randomForest4.7.1.2Liaw and Wiener (2002)
ranger0.17.0Wright and Ziegler (2017)
reshape21.4.4Wickham (2007)
rJava1.0.11Urbanek (2024)
rmarkdown2.29Xie, Allaire, and Grolemund (2018); Xie, Dervieux, and Riederer (2020); Allaire et al. (2024)
rpart4.1.23Therneau and Atkinson (2023)
RWeka0.4.46Witten and Frank (2005); Hornik, Buchta, and Zeileis (2009)
sbrl1.2Yang, Rudin, and Seltzer (2016)
tidyverse2.0.0Wickham et al. (2019)
tm0.7.14Feinerer, Hornik, and Meyer (2008); Feinerer and Hornik (2024)
viridis0.6.5Garnier et al. (2024)
yaImpute1.0.34.1Nicholas L. Crookston and Andrew O. Finley (2007)

Allaire, JJ, Yihui Xie, Christophe Dervieux, Jonathan McPherson, Javier Luraschi, Kevin Ushey, Aron Atkins, et al. 2024. rmarkdown: Dynamic Documents for r. https://github.com/rstudio/rmarkdown.

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.

Biecek, Przemyslaw. 2018. "DALEX: Explainers for Complex Predictive Models in r." Journal of Machine Learning Research 19 (84): 1–5. https://jmlr.org/papers/v19/18-416.html.

———. 2020. ceterisParibus: Ceteris Paribus Profiles. https://CRAN.R-project.org/package=ceterisParibus.

Feinerer, Ingo, and Kurt Hornik. 2024. tm: Text Mining Package. https://CRAN.R-project.org/package=tm.

Feinerer, Ingo, Kurt Hornik, and David Meyer. 2008. "Text Mining Infrastructure in r." Journal of Statistical Software 25 (5): 1–54. https://doi.org/10.18637/jss.v025.i05.

Fokkema, Marjolein. 2020. "Fitting Prediction Rule Ensembles with R Package pre." Journal of Statistical Software 92 (12): 1–30. https://doi.org/10.18637/jss.v092.i12.

Friedman, Jerome, Robert Tibshirani, and Trevor Hastie. 2010. "Regularization Paths for Generalized Linear Models via Coordinate Descent." Journal of Statistical Software 33 (1): 1–22. https://doi.org/10.18637/jss.v033.i01.

Garnier, Simon, Ross, Noam, Rudis, Robert, Camargo, et al. 2024. viridis(Lite) - Colorblind-Friendly Color Maps for r. https://doi.org/10.5281/zenodo.4679423.

Hamner, Ben, and Michael Frasco. 2018. Metrics: Evaluation Metrics for Machine Learning. https://CRAN.R-project.org/package=Metrics.

Hornik, Kurt, Christian Buchta, and Achim Zeileis. 2009. "Open-Source Machine Learning: R Meets Weka." Computational Statistics 24 (2): 225–32. https://doi.org/10.1007/s00180-008-0119-7.

Horst, Allison Marie, Alison Presmanes Hill, and Kristen B Gorman. 2020. palmerpenguins: Palmer Archipelago (Antarctica) Penguin Data. https://doi.org/10.5281/zenodo.3960218.

Hothorn, Torsten, Kurt Hornik, and Achim Zeileis. 2006. "Unbiased Recursive Partitioning: A Conditional Inference Framework." Journal of Computational and Graphical Statistics 15 (3): 651–74. https://doi.org/10.1198/106186006X133933.

Hothorn, Torsten, and Achim Zeileis. 2015. "partykit: A Modular Toolkit for Recursive Partytioning in R." Journal of Machine Learning Research 16: 3905–9. https://jmlr.org/papers/v16/hothorn15a.html.

Kuhn, and Max. 2008. "Building Predictive Models in r Using the Caret Package." Journal of Statistical Software 28 (5): 1–26. https://doi.org/10.18637/jss.v028.i05.

Liaw, Andy, and Matthew Wiener. 2002. "Classification and Regression by randomForest." R News 2 (3): 18–22. https://CRAN.R-project.org/doc/Rnews/.

Long, Jacob A. 2024. interactions: Comprehensive, User-Friendly Toolkit for Probing Interactions. https://doi.org/10.32614/CRAN.package.interactions.

Meschiari, Stefano. 2022. Latex2exp: Use LaTeX Expressions in Plots. https://CRAN.R-project.org/package=latex2exp.

Meyer, David, Evgenia Dimitriadou, Kurt Hornik, Andreas Weingessel, and Friedrich Leisch. 2024. E1071: Misc Functions of the Department of Statistics, Probability Theory Group (Formerly: E1071), TU Wien. https://CRAN.R-project.org/package=e1071.

Meyer, Patrick E. 2022. infotheo: Information-Theoretic Measures. https://CRAN.R-project.org/package=infotheo.

Molnar, Christoph, Bernd Bischl, and Giuseppe Casalicchio. 2018. "iml: An r Package for Interpretable Machine Learning." JOSS 3 (26): 786. https://doi.org/10.21105/joss.00786.

Nicholas L. Crookston, and Andrew O. Finley. 2007. "yaImpute: An r Package for kNN Imputation." Journal of Statistical Software 23 (10). https://doi.org/10.18637/jss.v023.i10.

Pedersen, Thomas Lin. 2024. patchwork: The Composer of Plots. https://CRAN.R-project.org/package=patchwork.

R Core Team. 2024a. R: A Language and Environment for Statistical Computing. Vienna, Austria: R Foundation for Statistical Computing. https://www.R-project.org/.

———. 2024b. R: A Language and Environment for Statistical Computing. Vienna, Austria: R Foundation for Statistical Computing. https://www.R-project.org/.

Schloerke, Barret, Di Cook, Joseph Larmarange, Francois Briatte, Moritz Marbach, Edwin Thoen, Amos Elberg, and Jason Crowley. 2024. GGally: Extension to "ggplot2". https://CRAN.R-project.org/package=GGally.

Simon, Noah, Jerome Friedman, Robert Tibshirani, and Trevor Hastie. 2011. "Regularization Paths for Cox's Proportional Hazards Model via Coordinate Descent." Journal of Statistical Software 39 (5): 1–13. https://doi.org/10.18637/jss.v039.i05.

Tay, J. Kenneth, Balasubramanian Narasimhan, and Trevor Hastie. 2023. "Elastic Net Regularization Paths for All Generalized Linear Models." Journal of Statistical Software 106 (1): 1–31. https://doi.org/10.18637/jss.v106.i01.

Therneau, Terry, and Beth Atkinson. 2023. rpart: Recursive Partitioning and Regression Trees. https://CRAN.R-project.org/package=rpart.

Urbanek, Simon. 2022. jpeg: Read and Write JPEG Images. https://CRAN.R-project.org/package=jpeg.

———. 2024. rJava: Low-Level r to Java Interface. https://CRAN.R-project.org/package=rJava.

Venables, W. N., and B. D. Ripley. 2002. Modern Applied Statistics with s. Fourth. New York: Springer. https://www.stats.ox.ac.uk/pub/MASS4/.

von Jouanne-Diedrich, Holger. 2017. OneR: One Rule Machine Learning Classification Algorithm with Enhancements. https://CRAN.R-project.org/package=OneR.

Wickham, Hadley. 2007. "Reshaping Data with the reshape Package." Journal of Statistical Software 21 (12): 1–20. http://www.jstatsoft.org/v21/i12/.

Wickham, Hadley, Mara Averick, Jennifer Bryan, Winston Chang, Lucy D'Agostino McGowan, Romain François, Garrett Grolemund, et al. 2019. "Welcome to the tidyverse." Journal of Open Source Software 4 (43): 1686. https://doi.org/10.21105/joss.01686.

Witten, Ian H., and Eibe Frank. 2005. Data Mining: Practical Machine Learning Tools and Techniques. 2nd ed. San Francisco: Morgan Kaufmann.

Wood, S. N. 2017. Generalized Additive Models: An Introduction with r. 2nd ed. Chapman; Hall/CRC.

Wood, S. N. 2003. "Thin-Plate Regression Splines." Journal of the Royal Statistical Society (B) 65 (1): 95–114.

———. 2004. "Stable and Efficient Multiple Smoothing Parameter Estimation for Generalized Additive Models." Journal of the American Statistical Association 99 (467): 673–86.

———. 2011. "Fast Stable Restricted Maximum Likelihood and Marginal Likelihood Estimation of Semiparametric Generalized Linear Models." Journal of the Royal Statistical Society (B) 73 (1): 3–36.

Wood, S. N., N., Pya, and B. S"afken. 2016. "Smoothing Parameter and Model Selection for General Smooth Models (with Discussion)." Journal of the American Statistical Association 111: 1548–75.

Wright, Marvin N., and Andreas Ziegler. 2017. "ranger: A Fast Implementation of Random Forests for High Dimensional Data in C++ and R." Journal of Statistical Software 77 (1): 1–17. https://doi.org/10.18637/jss.v077.i01.

Xie, Yihui. 2014. "knitr: A Comprehensive Tool for Reproducible Research in R." In Implementing Reproducible Computational Research, edited by Victoria Stodden, Friedrich Leisch, and Roger D. Peng. Chapman; Hall/CRC.

———. 2015. Dynamic Documents with R and Knitr. 2nd ed. Boca Raton, Florida: Chapman; Hall/CRC. https://yihui.org/knitr/.

———. 2024. knitr: A General-Purpose Package for Dynamic Report Generation in r. https://yihui.org/knitr/.

Xie, Yihui, J. J. Allaire, and Garrett Grolemund. 2018. R Markdown: The Definitive Guide. Boca Raton, Florida: Chapman; Hall/CRC. https://bookdown.org/yihui/rmarkdown.

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

Yang, Hongyu, Cynthia Rudin, and Margo Seltzer. 2016. sbrl: Scalable Bayesian Rule Lists Model. https://CRAN.R-project.org/package=sbrl.

Zeileis, Achim, Torsten Hothorn, and Kurt Hornik. 2008. "Model-Based Recursive Partitioning." Journal of Computational and Graphical Statistics 17 (2): 492–514. https://doi.org/10.1198/106186008X319331.

Zhu, Hao. 2024. kableExtra: Construct Complex Table with "kable" and Pipe Syntax. https://CRAN.R-project.org/package=kableExtra.