参考文献

Agresti, Alan. 2007. An Introduction to Categorical Data Analysis. 2nd ed. Hoboken, New Jersey: John Wiley & Sons, Inc.

Anscombe, F. J. 1973. “Graphs in Statistical Analysis.” The American Statistician 27 (1): 17. https://doi.org/10.2307/2682899.

Arnold, Jeffrey B. 2021. ggthemes: Extra Themes, Scales and Geoms for ggplot2. https://CRAN.R-project.org/package=ggthemes.

Attali, Dean, and Christopher Baker. 2022. ggExtra: Add Marginal Histograms to ggplot2, and More ggplot2 Enhancements. https://CRAN.R-project.org/package=ggExtra.

Bai, H., L. Wang, W. Pan, and M. Frey. 2009. “Measuring Mathematics Anxiety: Psychometric Analysis of a Bidimensional Affective Scale.” Journal of Instructional Psychology 36 (3): 185–93.

Bates, Douglas M., and Donald G. Watts. 1988. Nonlinear Regression Analysis and Its Applications. New York, NY: John Wiley & Sons. https://doi.org/10.1002/9780470316757.app2.

Berkelaar, Michel et al. 2023. lpSolve: Interface to Lp_solve v. 5.5 to Solve Linear/Integer Programs. https://CRAN.R-project.org/package=lpSolve.

Bickel, P. J., E. A. Hammel, and J. W. O’Connell. 1975. “Sex Bias in Graduate Admissions: Data from Berkeley.” Science 187 (4175): 398–404. https://doi.org/10.1126/science.187.4175.398.

Bion, Ricardo. 2018. ggtech: ggplot2 Tech Themes and Scales.

Bradley Efron, Iain Johnstone, Trevor Hastie, and Robert Tibshirani. 2004. “Least Angle Regression.” Annals of Statistics 32 (2): 407–99. https://hastie.su.domains/Papers/LARS/LeastAngle_2002.pdf.

Brandao, Filipe. 2023. rAMPL: AMPL API for r. https://github.com/ampl/rAMPL.

Breheny, Patrick, and Jian Huang. 2011. “Coordinate Descent Algorithms for Nonconvex Penalized Regression, with Applications to Biological Feature Selection.” Annals of Applied Statistics 5 (1): 232–53. https://doi.org/10.1214/10-AOAS388.

Brodersen, Kay H., Fabian Gallusser, Jim Koehler, Nicolas Remy, and Steven L. Scott. 2015. “Inferring Causal Impact Using Bayesian Structural Time-Series Models.” Annals of Applied Statistics 9: 247–74. https://research.google/pubs/pub41854/.

Brunson, Jason Cory. 2020. “ggalluvial: Layered Grammar for Alluvial Plots.” Journal of Open Source Software 5 (49): 2017. https://doi.org/10.21105/joss.02017.

Christensen, O. F., and P. J. Ribeiro Jr. 2002. “geoRglm: A Package for Generalised Linear Spatial Models.” R News 2 (2): 26–28.

Clopper, C. J., and E. S. Pearson. 1934. “The Use of Confidence or Fiducial Limits Illustrated in the Case of the Binomial.” Biometrika 26 (4): 404–13. https://doi.org/10.1093/biomet/26.4.404.

Cohen, Jacob. 1994. “The Earth Is Round (p < .05).” American Psychologist 49 (12): 997–1003. https://doi.org/10.1037/0003-066x.49.12.997.

Constantin, Ahlmann-Eltze, and Indrajeet Patil. 2021. “ggsignif: R Package for Displaying Significance Brackets for ggplot2.” PsyArxiv. https://doi.org/10.31234/osf.io/7awm6.

Davies, Rhian, Steph Locke, and Lucy D’Agostino McGowan. 2022. datasauRus: Datasets from the Datasaurus Dozen. https://CRAN.R-project.org/package=datasauRus.

Dobson, Annette J. 1983. An Introduction to Statistical Modelling. 1st ed. London: Chapman; Hall/CRC. https://doi.org/10.1007/978-1-4899-3174-0.

Dunning, Iain, Joey Huchette, and Miles Lubin. 2017. “JuMP: A Modeling Language for Mathematical Optimization.” SIAM Review 59 (2): 295–320. https://doi.org/10.1137/15M1020575.

Efron, Bradley, Trevor Hastie, Iain Johnstone, and Robert Tibshirani. 2004. “Least angle regression.” The Annals of Statistics 32 (2): 407–99. https://doi.org/10.1214/009053604000000067.

Epps, T. W., and Lawrence B. Pulley. 1983. “A Test for Normality Based on the Empirical Characteristic Function.” Biometrika 70 (3): 723–26. https://doi.org/10.2307/2336512.

Feng, Dai, and Luke Tierney. 2008. “Computing and Displaying Isosurfaces in R.” Journal of Statistical Software 28 (1). https://doi.org/10.18637/jss.v028.i01.

Fisher, R. A. 1936. “The Use of Multiple Measurements in Taxonomic Problems.” Annals of Eugenics 7 (2): 179–88. https://doi.org/10.1111/j.1469-1809.1936.tb02137.x.

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.

Friendly, Michael. 2021. HistData: Data Sets from the History of Statistics and Data Visualization. https://CRAN.R-project.org/package=HistData.

Friendly, Michael, and David Meyer. 2016. Discrete Data Analysis with r: Visualization and Modeling Techniques for Categorical and Count Data. 1st ed. Boca Raton, Florida: Chapman; Hall/CRC.

Fu, Anqi, and Balasubramanian Narasimhan. 2023. ECOSolveR: Embedded Conic Solver in r. https://CRAN.R-project.org/package=ECOSolveR.

Galton, F. 1886. “Regression Towards Mediocrity in Hereditary Stature.” Journal of the Anthropological Institute 15: 246–63.

Garnier, Simon, Ross, Noam, Rudis, Robert, Camargo, et al. 2021. viridis - Colorblind-Friendly Color Maps for r. https://doi.org/10.5281/zenodo.4679424.

Gross, Calli, and Philipp Ottolinger. 2016. ggThemeAssist: Add-in to Customize ggplot2 Themes. https://CRAN.R-project.org/package=ggThemeAssist.

Hahsler, Michael, and Kurt Hornik. 2007. “TSP: Infrastructure for the Traveling Salesperson Problem.” Journal of Statistical Software 23 (2): 1–21. https://doi.org/10.18637/jss.v023.i02.

Hanley, James A. 2004. “’Transmuting’ Women into Men: Galton’s Family Data on Human Stature.” The American Statistician 58 (3): 237–43.

Hart, William E, Jean-Paul Watson, and David L Woodruff. 2011. “Pyomo: Modeling and Solving Mathematical Programs in Python.” Mathematical Programming Computation 3 (3): 219–60.

Hasselblad, Victor. 1969. “Estimation of Finite Mixtures of Distributions from the Exponential Family.” Journal of the American Statistical Association 64 (328): 1459–71. https://doi.org/10.1080/01621459.1969.10501071.

Hawkins, Oliver. 2022. pilot: A Minimal ggplot2 Theme with an Accessible Discrete Color Palette. https://github.com/olihawkins/pilot.

Heyde, C. C., E. Seneta, P. Crépel, S. E. Fienberg, and J. Gani. 2001. Statisticians of the Centuries. New York, NY: Springer-Verlag. https://doi.org/10.1007/978-1-4613-0179-0.

Hoaglin, David C., and Roy E. Welsch. 1978. “The Hat Matrix in Regression and ANOVA.” The American Statistician 32 (1): 17–22. https://www.jstor.org/stable/2683469.

Holmes, E. E., Eric J. Ward, and K. Wills. 2012. “MARSS: Multivariate Autoregressive State-Space Models for Analyzing Time-Series Data.” R Journal 4 (1): 11–19. https://doi.org/10.32614/RJ-2012-002.

Holt, Charles C. 2004. “Forecasting Seasonals and Trends by Exponentially Weighted Moving Averages.” International Journal of Forecasting 20 (1): 5–10. https://doi.org/10.1016/j.ijforecast.2003.09.015.

HSU, P. L. 1938. “Contribution to the Theory of "Student’s" T-Test as Applied to the Problem of Two Samples.” Statistical Research Memoirs 2: 1–24.

———. 1983. Collected Papers. New York, NY: Springer-Verlag.

Hvitfeldt, Emil. 2021. paletteer: Comprehensive Collection of Color Palettes. https://github.com/EmilHvitfeldt/paletteer.

Johnson, Steven G. 2023. The NLopt Nonlinear Optimization Package. https://CRAN.R-project.org/package=nloptr.

Kabacoff, Robert I. 2022. R in Action: Data Analysis and Graphics with R and Tidyverse. 3rd ed. Shelter Island, NY: Manning Publications Co.

Karambelkar, Bhaskar. 2016. colormap: Color Palettes Using Colormaps Node Module. https://CRAN.R-project.org/package=colormap.

Karatzoglou, Alexandros, Alex Smola, Kurt Hornik, and Achim Zeileis. 2004. “kernlab: An S4 Package for Kernel Methods in R.” Journal of Statistical Software 11 (9): 1–20. https://doi.org/10.18637/jss.v011.i09.

Kassambara, Alboukadel. 2022. ggpubr: ggplot2 Based Publication Ready Plots. https://CRAN.R-project.org/package=ggpubr.

Kay, Matthew. 2022. ggdist: Visualizations of Distributions and Uncertainty. https://doi.org/10.5281/zenodo.3879620.

Kim, Seock-Ho, and Allan S. Cohen. 1998. “On the Behrens-Fisher Problem: A Review.” Journal of Educational and Behavioral Statistics 23 (4): 356–77. https://doi.org/10.2307/1165281.

Kim, Yongdai, Hosik Choi, and Hee-Seok Oh. 2008. “Smoothly Clipped Absolute Deviation on High Dimensions.” Journal of the American Statistical Association 103 (484): 1665–73. https://doi.org/10.1198/016214508000001066.

Kothari, Aditya. 2022. ggTimeSeries: Time Series Visualisations Using the Grammar of Graphics. https://CRAN.R-project.org/package=ggTimeSeries.

Lemon, Jim. 2006. “plotrix: A Package in the Red Light District of R.” R-News 6 (4): 8–12.

Ligges, Uwe, and Martin Mächler. 2003. “scatterplot3d: An r Package for Visualizing Multivariate Data.” Journal of Statistical Software 8 (11): 1–20. https://doi.org/10.18637/jss.v008.i11.

Likert, Rensis. 1932. “A Technique for the Measurement of Attitudes.” Archives of Psychology 142 (1): 1–55.

McGill, Tukey, R., and W. A. Larsen. 1978. “Variations of Box Plots.” The American Statistician 32 (1): 12–16. https://www.jstor.org/stable/2683468.

Meyer, David, Achim Zeileis, and Kurt Hornik. 2006. “The Strucplot Framework: Visualizing Multi-Way Contingency Tables with vcd.” Journal of Statistical Software 17 (3): 1–48. https://doi.org/10.18637/jss.v017.i03.

Neitmann, Thomas. 2020. ggcharts: Shorten the Distance from Data Visualization Idea to Actual Plot. https://CRAN.R-project.org/package=ggcharts.

Neuwirth, Erich. 2022. RColorBrewer: ColorBrewer Palettes. https://CRAN.R-project.org/package=RColorBrewer.

Newcombe, Robert G. 1998. “Interval Estimation for the Difference Between Independent Proportions: Comparison of Eleven Methods.” Statistics in Medicine 17 (8): 873–90. https://doi.org/10.1002/(SICI)1097-0258(19980430)17:8<873::AID-SIM779>3.0.CO;2-I.

O’Donoghue, Brendan, Eric Chu, Parikh Neal, and Stephen Boyd. 2016. “Operator Splitting for Conic Optimization via Homogeneous Self-Dual Embedding.” Journal of Optimization Theory and Applications 169 (3): 1042–68. https://doi.org/10.1007/s10957-016-0892-3.

Otto, James, and David Kahle. 2022. ggdensity: Interpretable Bivariate Density Visualization with ggplot2. https://CRAN.R-project.org/package=ggdensity.

Patil, Indrajeet. 2021. “Visualizations with statistical details: The ’ggstatsplot’ approach.” Journal of Open Source Software 6 (61): 3167. https://doi.org/10.21105/joss.03167.

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.

———. 2022. stars: Spatiotemporal Arrays, Raster and Vector Data Cubes. https://CRAN.R-project.org/package=stars.

Pedersen, Thomas Lin, and Fabio Crameri. 2022. scico: Colour Palettes Based on the Scientific Colour-Maps. https://CRAN.R-project.org/package=scico.

Rigby, R. A., and D. M. Stasinopoulos. 2005. “Generalized Additive Models for Location, Scale and Shape (with Discussion).” Journal of the Royal Statistical Society: Series C (Applied Statistics) 54 (3): 507–54. https://doi.org/10.1111/j.1467-9876.2005.00510.x.

Ryan, Jeffrey A., and Joshua M. Ulrich. 2022. quantmod: Quantitative Financial Modelling Framework. https://CRAN.R-project.org/package=quantmod.

S original by Berwin A. Turlach, Fortran contributions from Cleve Moler dpodi/LINPACK), R port by Andreas Weingessel. 2019. quadprog: Functions to Solve Quadratic Programming Problems. https://CRAN.R-project.org/package=quadprog.

Sarkar, Deepayan. 2008. lattice: Multivariate Data Visualization with R. New York: Springer. http://lmdvr.r-forge.r-project.org.

Schilling, Walter. 1947. “A Frequency Distribution Represented as the Sum of Two Poisson Distributions.” Journal of the American Statistical Association 42 (239): 407–24.

Schwendinger, Florian, and Hans W. Borchers. 2023. CRAN Task View: Optimization and Mathematical Programming. https://CRAN.R-project.org/view=Optimization.

Schwendinger, Florian, and Dirk Schumacher. 2023. highs: HiGHS Optimization Solver. https://CRAN.R-project.org/package=highs.

Scrucca, Luca. 2013. “GA: A Package for Genetic Algorithms in R.” Journal of Statistical Software 53 (4): 1–37. https://doi.org/10.18637/jss.v053.i04.

Sidiropoulos, Nikos, Sina Hadi Sohi, Thomas Lin Pedersen, Bo Torben Porse, Ole Winther, Nicolas Rapin, and Frederik Otzen Bagger. 2018. “SinaPlot: An Enhanced Chart for Simple and Truthful Representation of Single Observations over Multiple Classes.” Journal of Computational and Graphical Statistics 27 (3): 673–76. https://doi.org/10.1080/10618600.2017.1366914.

Slowikowski, Kamil. 2021. ggrepel: Automatically Position Non-Overlapping Text Labels with ggplot2. https://CRAN.R-project.org/package=ggrepel.

Soetaert, Karline. 2021. plot3D: Plotting Multi-Dimensional Data. https://CRAN.R-project.org/package=plot3D.

"Student". 1908. “The Probable Error of a Mean.” Biometrika 6: 1–25.

Stylianou, Nassos, Will Dahlgreen, Robert Cuffe, Tom Calver, and Ransome Mpini. 2022. bbplot: Making ggplot2 Graphics in BBC NEWS Style.

Tang, Yuan, Masaaki Horikoshi, and Wenxuan Li. 2016. “ggfortify: Unified Interface to Visualize Statistical Result of Popular r Packages.” The R Journal 8 (2): 474–85. https://doi.org/10.32614/RJ-2016-060.

Theussl, Stefan, and Kurt Hornik. 2023. Rglpk: R/GNU Linear Programming Kit Interface. https://CRAN.R-project.org/package=Rglpk.

Theußl, Stefan, Florian Schwendinger, and Kurt Hornik. 2020. “ROI: An Extensible R Optimization Infrastructure.” Journal of Statistical Software 94 (15): 1–64. https://doi.org/10.18637/jss.v094.i15.

Tibshirani, Robert. 1996. “Regression Shrinkage and Selection via the Lasso.” Journal of the Royal Statistical Society. Series B (Methodological) 58 (1): 267–88. http://www.jstor.org/stable/2346178.

Tobin, Ciaran. 2020. ggthemr: Themes for ggplot2.

Varadhan, Ravi, and Paul Gilbert. 2009. “BB: An R Package for Solving a Large System of Nonlinear Equations and for Optimizing a High-Dimensional Nonlinear Objective Function.” Journal of Statistical Software 32 (4): 1–26. https://www.jstatsoft.org/v32/i04/.

Ward, Eric J., Sean C. Anderson, Luis A. Damiano, Mary E. Hunsicker, and Michael A. Litzow. 2019. “Modeling regimes with extremes: the bayesdfa package for identifying and forecasting common trends and anomalies in multivariate time-series data.” The R Journal. https://doi.org/10.32614/RJ-2019-007.

Warnes, J. J., and B. D. Ripley. 1987. “Problems with Likelihood Estimation of Covariance Functions of Spatial Gaussian Processes.” Biometrika 74 (3). 640-642.

Wickham, Charlotte. 2018. munsell: Utilities for Using Munsell Colours. https://CRAN.R-project.org/package=munsell.

Wickham, Hadley. 2016. ggplot2: Elegant Graphics for Data Analysis. Springer-Verlag New York. https://ggplot2.tidyverse.org.

Wickham, Hadley, Mine Çetinkaya-Rundel, and Garrett Grolemund. 2023. R for Data Science: Import, Tidy, Transform, Visualize, and Model Data. 2nd ed. Sebastopol, California: O’Reilly Media, Inc. https://r4ds.hadley.nz/.

Wickham, Hadley, and Dana Seidel. 2022. scales: Scale Functions for Visualization. https://CRAN.R-project.org/package=scales.

Wilke, Claus O. 2020. ggtext: Improved Text Rendering Support for ggplot2. https://CRAN.R-project.org/package=ggtext.

Wilson, Edwin B. 1927. “Probable Inference, the Law of Succession, and Statistical Inference.” Journal of the American Statistical Association 22 (158): 209–12. https://doi.org/10.1080/01621459.1927.10502953.

Winters, Peter R. 1960. “Forecasting Sales by Exponentially Weighted Moving Averages.” Management Science 6 (3): 324–42. https://doi.org/10.1287/mnsc.6.3.324.

Xiao, Nan. 2018. ggsci: Scientific Journal and Sci-Fi Themed Color Palettes for ggplot2. https://CRAN.R-project.org/package=ggsci.

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

Yu, Guangchuang. 2022. ggimage: Use Image in ggplot2. https://CRAN.R-project.org/package=ggimage.

Yutani, Hiroaki. 2022. String2path: Rendering Font into data.frame. https://CRAN.R-project.org/package=string2path.

Zeileis, Achim, Jason C. Fisher, Kurt Hornik, Ross Ihaka, Claire D. McWhite, Paul Murrell, Reto Stauffer, and Claus O. Wilke. 2020. “colorspace: A Toolbox for Manipulating and Assessing Colors and Palettes.” Journal of Statistical Software 96 (1): 1–49. https://doi.org/10.18637/jss.v096.i01.

Zeileis, Achim, David Meyer, and Kurt Hornik. 2007. “Residual-Based Shadings for Visualizing (Conditional) Independence.” Journal of Computational and Graphical Statistics 16 (3): 507–25. https://doi.org/10.1198/106186007X237856.

Zhang, Cun-Hui. 2010. “Nearly Unbiased Variable Selection Under Minimax Concave Penalty.” The Annals of Statistics 38 (2): 894–942. https://doi.org/10.1214/09-AOS729.

Zhu, Jin, Xueqin Wang, Liyuan Hu, Junhao Huang, Kangkang Jiang, Yanhang Zhang, Shiyun Lin, and Junxian Zhu. 2022. “abess: A Fast Best Subset Selection Library in Python and R.” Journal of Machine Learning Research 23 (202): 1–7. https://www.jmlr.org/papers/v23/21-1060.html.

Zou, Hui. 2006. “The Adaptive Lasso and Its Oracle Properties.” Journal of the American Statistical Association 101 (476): 407–99. https://doi.org/10.1198/016214506000000735.

Zou, Hui, and Trevor Hastie. 2005. “Regularization and Variable Selection via the Elastic Net.” Journal of the Royal Statistical Society Series B: Statistical Methodology 67 (2): 301–20. https://doi.org/10.1111/j.1467-9868.2005.00503.x.

宋泽熙. 2011. “两个二项总体成功概率的比较.” 中国校外教育（理论） z1: 81. https://doi.org/10.3969/j.issn.1004-8502-B.2011.z1.0919.

赵鹏, 谢益辉, and 黄湘云. 2021. 现代统计图形. 北京: 人民邮电出版社. https://bookdown.org/xiangyun/msg.