Appendix A — R Packages

A.1 R Packages used in this book

Here is a list of the R packages that are used in this book.

Chapters Package Description Reference(s)
17, 19, 22 broom Summarize key information about models into tibbles Website
7, 9, 17, 19, 21-22 car Box-Cox transformations, Companion to Applied Regression PDF manual,
related book
9 DescTools Bonferroni and Tukey HSD CIs after ANOVA Website
13 Epi twoby2(), Epidemiological Analysis with R Website
Appendix fivethirtyeight bechdel data set Website
10, 19 GGally scatterplot matrix through ggpairs() Website
2, 6-9 ggdist Rain cloud plots, Visualizations of distributions and uncertainty Website
2, 10 ggpubr add fitted equation to scatterplot Website
10 ggstatsplot Adding Summaries to ggplot-based plots Website
21-22 glmnet LASSO and Elastic Net models Website
2, 10-11 glue working with strings and R results Website
11, 16, 21 haven read and write various data formats Website
5-7 infer tidy statistical inference Website
2-4, 7-11, 14, 17, 20-22 janitor clean_names(), tabyl(), for cleaning and exploring Overview
2-22 knitr kable(), report generation Website
13 medicaldata data sets for teaching reproducible medical research Website
17, 22 mice Multivariate Imputation by Chained Equations Website, van Buuren (2021)
6-7 MKinfer bootstrap testing Website
2-3, 5, 7-22 naniar Tidy ways to summarize missingness Website
20-22 olsrr building OLS models, including best subsets Website
2-3 palmerpenguins Palmer Penguins data Website, Horst et al. (2020)
2, 5-7, 9-11, 16-17, 21-22 patchwork Combining separate ggplots into one graphic Website
6 readxl get data out of Excel and into R Website
5-11, 16-22 rstanarm Bayesian Applied Regression Modeling via STAN Website
all styler non-invasive code formatting for pretty printing Website Tidyverse Style Guide
19 tidytuesdayR access data from Tidy Tuesday repository Website
Appendix xfun for session information, Section A.3 Website

A.1.1 Meta-packages

Chapters Meta-Package Description Reference(s)
2-22 easystats An R Framework for Easy Statistical Modeling, Visualization and Reporting Website, Lüdecke et al. (2022)
2-22 tidyverse R packages for Data Science Website

A.2 Loading all of these R packages

A.3 Session Information

xfun::session_info()
R version 4.6.1 (2026-06-24 ucrt)
Platform: x86_64-w64-mingw32/x64
Running under: Windows 11 x64 (build 26200)

Locale:
  LC_COLLATE=English_United States.utf8 
  LC_CTYPE=English_United States.utf8   
  LC_MONETARY=English_United States.utf8
  LC_NUMERIC=C                          
  LC_TIME=English_United States.utf8    

Package version:
  abind_1.4-8            afex_1.5.1             arrangements_1.1.10   
  askpass_1.2.1          backports_1.5.1        base64enc_0.1-6       
  BayesFactor_0.9.12.4.8 bayesplot_1.15.0       bayestestR_0.18.1     
  BH_1.90.0.1            bit_4.6.0              bit64_4.8.2           
  blob_1.3.0             boot_1.3-32            broom_1.0.13          
  bslib_0.11.0           BWStest_0.2.3          cachem_1.1.0          
  callr_3.8.0            car_3.1-5              carData_3.0-6         
  cellranger_1.1.0       checkmate_2.3.4        cli_3.6.6             
  clipr_0.8.1            cmprsk_2.2-12          coda_0.19-4.1         
  codetools_0.2-20       colorspace_2.1.3       colourpicker_1.3.0    
  commonmark_2.0.0       compiler_4.6.1         conflicted_1.2.0      
  contfrac_1.1.12        correlation_0.8.8      corrplot_0.95         
  cowplot_1.2.0          cpp11_0.5.5            crayon_1.5.3          
  crosstalk_1.2.2        curl_7.1.0             data.table_1.18.4     
  datasets_4.6.1         datawizard_1.3.1       DBI_1.3.0             
  dbplyr_2.6.0           Deriv_4.3.0            desc_1.4.3            
  deSolve_1.42           digest_0.6.39          distributional_0.8.1  
  doBy_4.7.2             dplyr_1.2.1            DT_0.34.0             
  dtplyr_1.3.3           dygraphs_1.1.1.6       easystats_0.7.6       
  effectsize_1.0.3       elliptic_1.5.1         emmeans_2.0.4         
  Epi_2.65               estimability_2.0.0     etm_1.1.2             
  evaluate_1.0.5         exactRankTests_0.8-37  farver_2.1.2          
  fastmap_1.2.0          fivethirtyeight_0.6.2  fontawesome_0.5.3     
  forcats_1.0.1          foreach_1.5.2          forecast_9.0.2        
  Formula_1.2-5          fracdiff_1.5.4         fs_2.1.0              
  gargle_1.6.1           generics_0.1.4         GGally_2.4.0          
  ggcorrplot_0.3.0       ggdist_3.3.3           ggplot2_4.0.3         
  ggpubr_1.0.0           ggrepel_0.9.8          ggridges_0.5.7        
  ggsci_5.2.0            ggside_0.4.1           ggsignif_0.6.4        
  ggstats_0.13.0         ggstatsplot_1.0.0      gh_1.6.1              
  gitcreds_0.1.2         glmnet_5.0             glue_1.8.1            
  gmp_0.7-5.1            goftest_1.2-3          googledrive_2.1.2     
  googlesheets4_1.1.2    graphics_4.6.1         grDevices_4.6.1       
  grid_4.6.1             gridExtra_2.3.1        gtable_0.3.6          
  gtools_3.9.5           haven_2.5.5            highr_0.12            
  hms_1.1.4              htmltools_0.5.9        htmlwidgets_1.6.4     
  httpuv_1.6.17          httr_1.4.8             httr2_1.3.0           
  hypergeo_1.2.14        ids_1.0.1              igraph_2.3.3          
  infer_1.1.0            ini_0.3.1              inline_0.3.21         
  insight_1.5.2          isoband_0.3.0          iterators_1.0.14      
  janitor_2.2.1          jomo_2.7-6             jquerylib_0.1.4       
  jsonlite_2.0.0         knitr_1.51             kSamples_1.2.12       
  labeling_0.4.3         later_1.4.8            lattice_0.22-9        
  lazyeval_0.2.3         lifecycle_1.0.5        litedown_0.10         
  lme4_2.0-6             lmerTest_3.2.1         lmtest_0.9.40         
  loo_2.10.1             lubridate_1.9.5        magrittr_2.0.5        
  markdown_2.0           MASS_7.3-66            Matrix_1.7-6          
  MatrixModels_0.5.4     matrixStats_1.5.0      medicaldata_0.2.0     
  memoise_2.0.1          methods_4.6.1          mgcv_1.9-4            
  mice_3.19.0            miceadds_3.20-10       mime_0.13             
  miniUI_0.1.2           minqa_1.2.8            mitml_0.4-5           
  mitools_2.4            MKdescr_0.9            MKinfer_1.3           
  modelbased_0.16.0      modelr_0.1.11          multcomp_1.4-31       
  multcompView_0.1.12    mvtnorm_1.4-2          naniar_1.1.0          
  nlme_3.1-170           nloptr_2.2.1           nnet_7.3-20           
  norm_1.0.11.1          nortest_1.0-4          numDeriv_2016.8-1.1   
  olsrr_0.7.0            openssl_2.4.2          ordinal_2026.7.26     
  otel_0.2.0             paletteer_1.7.0        palmerpenguins_0.1.1  
  pan_2.0                parallel_4.6.1         parameters_0.29.2     
  patchwork_1.3.2        pbapply_1.7.4          pbkrtest_0.5.5        
  performance_0.17.1     pillar_1.11.1          pkgbuild_1.4.8        
  pkgconfig_2.0.3        plyr_1.8.9             PMCMRplus_1.9.12      
  polynom_1.4.1          posterior_1.7.0        prettyunits_1.2.0     
  prismatic_1.1.2        processx_3.9.0         progress_1.2.3        
  promises_1.5.0         ps_1.9.3               purrr_1.2.2           
  quadprog_1.5.8         quantreg_6.1           QuickJSR_1.10.0       
  R.cache_0.17.0         R.methodsS3_1.8.2      R.oo_1.27.1           
  R.utils_2.13.0         R6_2.6.1               ragg_1.5.2            
  rappdirs_0.3.4         rbibutils_2.4.1        RColorBrewer_1.1-3    
  Rcpp_1.1.2             RcppArmadillo_15.4.2.1 RcppEigen_0.3.4.0.2   
  RcppParallel_6.2.0     Rdpack_2.6.6           readr_2.2.0           
  readxl_1.5.0           reformulas_0.4.4       rematch_2.0.0         
  rematch2_2.1.2         report_0.6.4           reprex_2.1.1          
  reshape_0.8.10         reshape2_1.4.5         rlang_1.3.0           
  rmarkdown_2.31         Rmpfr_1.1.2            rpart_4.1.27          
  rprojroot_2.1.1        rstan_2.32.7           rstanarm_2.32.2       
  rstantools_2.7.0       rstatix_1.1.0          rstudioapi_0.19.0     
  rvest_1.0.5            S7_0.2.2               sandwich_3.1-2        
  sass_0.4.10            scales_1.4.0           see_0.14.1            
  selectr_0.6.0          shape_1.4.6.1          shiny_1.14.0          
  shinyjs_2.1.1          shinystan_2.7.0        shinythemes_1.2.0     
  snakecase_0.11.1       sourcetools_0.1.7.2    SparseM_1.84.2        
  splines_4.6.1          StanHeaders_2.32.10    stats_4.6.1           
  stats4_4.6.1           statsExpressions_2.0.0 stbl_0.4.0            
  stringi_1.8.7          stringr_1.6.0          styler_1.11.0         
  SuppDists_1.1.9.9      survival_3.8-9         sys_3.4.3             
  systemfonts_1.3.2      tensorA_0.36.2.1       textshaping_1.0.5     
  TH.data_1.1-5          threejs_0.3.4          tibble_3.3.1          
  tidyr_1.3.2            tidyselect_1.2.1       tidytuesdayR_1.3.2    
  tidyverse_2.0.0        timechange_0.4.0       timeDate_4052.112     
  tinytex_0.60           tools_4.6.1            tzdb_0.5.0            
  ucminf_1.2.3           UpSetR_1.4.1           urca_1.3.4            
  utf8_1.2.6             utils_4.6.1            uuid_1.2.2            
  V8_8.2.0               vctrs_0.7.3            viridis_0.6.5         
  viridisLite_0.4.3      visdat_0.6.0           vroom_1.7.1           
  withr_3.0.3            WRS2_1.1.7             xfun_0.60             
  xml2_1.6.0             xplorerr_0.2.0         xtable_1.8-8          
  xts_0.14.2             yaml_2.3.12            zoo_1.9-0