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)
17-18, 22 broom Summarize key information about models into tibbles Website
7, 10, 17-18, 20-22 car Box-Cox transformations, Companion to Applied Regression PDF manual,
related book
13 Epi twoby2(), Epidemiological Analysis with R Website
Appendix fivethirtyeight bechdel data set Website
11, 18 GGally scatterplot matrix through ggpairs() Website
2, 6-7, 9-10 ggdist Rain cloud plots, Visualizations of distributions and uncertainty Website
2, 11 ggpubr add fitted equation to scatterplot Website
21-22 glmnet LASSO and Elastic Net models Website
2, 11-12 glue working with strings and R results Website
8, 12, 16, 21 haven read and write various data formats Website
5-7 infer tidy statistical inference Website
2-4, 7, 9-12, 14, 17, 20-22 janitor clean_names(), tabyl(), for cleaning and exploring Overview
2-14, 16-23 knitr kable(), report generation Website
13 medicaldata data sets for teaching reproducible medical research Website
17, 22-23 mice Multivariate Imputation by Chained Equations Website, van Buuren (2021)
6-7 MKinfer bootstrap testing Website
2-3, 5, 7-14, 16-23 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, Hill, and Gorman (2020)
2, 5-7, 10-12, 16-17, 21-22 patchwork Combining separate ggplots into one graphic Website
6 readxl get data out of Excel and into R Website
5-7, 9-12, 16-23 rstanarm Bayesian Applied Regression Modeling via STAN Website
all styler non-invasive code formatting for pretty printing Website Tidyverse Style Guide
18 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)
2-14, 16-23 easystats An R Framework for Easy Statistical Modeling, Visualization and Reporting Website, Lüdecke et al. (2022)
2-14, 16-23 tidyverse R packages for Data Science Website

A.2 Loading all of these R packages

A.3 Session Information

xfun::session_info()
R version 4.4.2 (2024-10-31 ucrt)
Platform: x86_64-w64-mingw32/x64
Running under: Windows 11 x64 (build 22631)

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            arrangements_1.1.9     askpass_1.2.1         
  backports_1.5.0        base64enc_0.1-3        bayesplot_1.11.1      
  bayestestR_0.15.0      BH_1.84.0.0            bit_4.5.0             
  bit64_4.5.2            blob_1.2.4             boot_1.3-31           
  broom_1.0.7            bslib_0.8.0            cachem_1.1.0          
  callr_3.7.6            car_3.1-3              carData_3.0-5         
  cellranger_1.1.0       checkmate_2.3.2        cli_3.6.3             
  clipr_0.8.0            cmprsk_2.2-12          coda_0.19-4.1         
  codetools_0.2-20       colorspace_2.1-1       colourpicker_1.3.0    
  commonmark_1.9.2       compiler_4.4.2         conflicted_1.2.0      
  correlation_0.8.6      corrplot_0.95          cowplot_1.1.3         
  cpp11_0.5.0            crayon_1.5.3           credentials_2.0.2     
  crosstalk_1.2.1        curl_6.0.1             data.table_1.16.2     
  datasets_4.4.2         datawizard_0.13.0      DBI_1.2.3             
  dbplyr_2.5.0           Deriv_4.1.6            desc_1.4.3            
  digest_0.6.37          distributional_0.5.0   doBy_4.6.24           
  dplyr_1.1.4            DT_0.33                dtplyr_1.3.1          
  dygraphs_1.1.1.6       easystats_0.7.3        effectsize_0.8.9      
  emmeans_1.10.5         Epi_2.56               estimability_1.5.1    
  etm_1.1.1              evaluate_1.0.1         exactRankTests_0.8-35 
  fansi_1.0.6            farver_2.1.2           fastmap_1.2.0         
  fivethirtyeight_0.6.2  fontawesome_0.5.3      forcats_1.0.0         
  foreach_1.5.2          Formula_1.2-5          fs_1.6.5              
  gargle_1.5.2           generics_0.1.3         gert_2.1.4            
  GGally_2.2.1           ggdist_3.3.2           ggplot2_3.5.1         
  ggpubr_0.6.0           ggrepel_0.9.6          ggridges_0.5.6        
  ggsci_3.2.0            ggsignif_0.6.4         ggstats_0.7.0         
  gh_1.4.1               gitcreds_0.1.2         glmnet_4.1-8          
  glue_1.8.0             gmp_0.7-5              goftest_1.2-3         
  googledrive_2.1.1      googlesheets4_1.1.1    graphics_4.4.2        
  grDevices_4.4.2        grid_4.4.2             gridExtra_2.3         
  gtable_0.3.6           gtools_3.9.5           haven_2.5.4           
  highr_0.11             hms_1.1.3              htmltools_0.5.8.1     
  htmlwidgets_1.6.4      httpuv_1.6.15          httr_1.4.7            
  httr2_1.0.6            ids_1.0.1              igraph_2.1.1          
  infer_1.0.7            ini_0.3.1              inline_0.3.20         
  insight_0.20.5         isoband_0.2.7          iterators_1.0.14      
  janitor_2.2.0          jomo_2.7-6             jquerylib_0.1.4       
  jsonlite_1.8.9         knitr_1.49             labeling_0.4.3        
  later_1.3.2            lattice_0.22-6         lazyeval_0.2.2        
  lifecycle_1.0.4        lme4_1.1-35.5          loo_2.8.0             
  lubridate_1.9.3        magrittr_2.0.3         markdown_1.13         
  MASS_7.3-61            Matrix_1.7-1           MatrixModels_0.5.3    
  matrixStats_1.4.1      medicaldata_0.2.0      memoise_2.0.1         
  methods_4.4.2          mgcv_1.9-1             mice_3.16.0           
  miceadds_3.17-44       microbenchmark_1.5.0   mime_0.12             
  miniUI_0.1.1.1         minqa_1.2.8            mitml_0.4-5           
  mitools_2.4            MKdescr_0.8            MKinfer_1.2           
  modelbased_0.8.9       modelr_0.1.11          multcomp_1.4-26       
  munsell_0.5.1          mvtnorm_1.3-2          naniar_1.1.0          
  nlme_3.1-166           nloptr_2.1.1           nnet_7.3-19           
  norm_1.0.11.1          nortest_1.0-4          numDeriv_2016.8-1.1   
  olsrr_0.6.1            openssl_2.2.2          ordinal_2023.12.4.1   
  palmerpenguins_0.1.1   pan_1.9                parallel_4.4.2        
  parameters_0.23.0      patchwork_1.3.0        pbkrtest_0.5.3        
  performance_0.12.4     pillar_1.9.0           pkgbuild_1.4.5        
  pkgconfig_2.0.3        plyr_1.8.9             polynom_1.4.1         
  posterior_1.6.0        prettyunits_1.2.0      processx_3.8.4        
  progress_1.2.3         promises_1.3.0         ps_1.8.1              
  purrr_1.0.2            quadprog_1.5.8         quantreg_5.99         
  QuickJSR_1.4.0         R.cache_0.16.0         R.methodsS3_1.8.2     
  R.oo_1.27.0            R.utils_2.12.3         R6_2.5.1              
  ragg_1.3.3             rappdirs_0.3.3         RColorBrewer_1.1-3    
  Rcpp_1.0.13-1          RcppArmadillo_14.0.2.1 RcppEigen_0.3.4.0.2   
  RcppParallel_5.1.9     readr_2.1.5            readxl_1.4.3          
  rematch_2.0.0          rematch2_2.1.2         report_0.5.9          
  reprex_2.1.1           reshape2_1.4.4         rlang_1.1.4           
  rmarkdown_2.29         rpart_4.1.23           rprojroot_2.0.4       
  rstan_2.32.6           rstanarm_2.32.1        rstantools_2.4.0      
  rstatix_0.7.2          rstudioapi_0.17.1      rvest_1.0.4           
  sandwich_3.1-1         sass_0.4.9             scales_1.3.0          
  see_0.9.0              selectr_0.4.2          shape_1.4.6.1         
  shiny_1.9.1            shinyjs_2.1.0          shinystan_2.6.0       
  shinythemes_1.2.0      snakecase_0.11.1       sourcetools_0.1.7.1   
  SparseM_1.84.2         splines_4.4.2          StanHeaders_2.32.10   
  stats_4.4.2            stats4_4.4.2           stringi_1.8.4         
  stringr_1.5.1          styler_1.10.3          survival_3.7-0        
  sys_3.4.3              systemfonts_1.1.0      tensorA_0.36.2.1      
  textshaping_0.4.0      TH.data_1.1-2          threejs_0.3.3         
  tibble_3.2.1           tidyr_1.3.1            tidyselect_1.2.1      
  tidytuesdayR_1.1.2     tidyverse_2.0.0        timechange_0.3.0      
  tinytex_0.54           tools_4.4.2            tzdb_0.4.0            
  ucminf_1.2.2           UpSetR_1.4.0           usethis_3.0.0         
  utf8_1.2.4             utils_4.4.2            uuid_1.2.1            
  V8_6.0.0               vctrs_0.6.5            viridis_0.6.5         
  viridisLite_0.4.2      visdat_0.6.0           vroom_1.6.5           
  whisker_0.4.1          withr_3.0.2            xfun_0.49             
  xml2_1.3.6             xplorerr_0.2.0         xtable_1.8-4          
  xts_0.14.1             yaml_2.3.10            zip_2.3.1             
  zoo_1.8-12