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, 19-22 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
22 ggmice Visualizations for mice with ggplot2 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
2-11, 13-14, 15-22 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, 7-11, 13-14, 15-22 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
15 pwr Basic functions for power analysis 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)
2-11, 13-14, 15-22 easystats An R Framework for Easy Statistical Modeling, Visualization and Reporting Website, Lüdecke et al. (2022)
2-11, 13-14, 15-22 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        base_4.6.1            
  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       
  class_7.3-23           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             DescTools_0.99.60     
  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       e1071_1.7-17          
  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         Exact_3.3             
  exactRankTests_0.8-37  expm_1.0-0             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           ggmice_0.1.1          
  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         gld_2.6.8             
  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         lmom_3.3               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         proxy_0.4-29           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           
  rootSolve_1.8.2.4      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