List of Packages Used

By Module

Module 03

{easypackages}: Sherman (2016)

Module 04

{renv}: Ushey and Wickham (2025)

Module 05

{usethis}: Wickham and Bryan (2020)

Module 07

{tidyverse}: Wickham (2019b), Wickham, Averick, et al. (2019)
- {ggplot2}: Wickham, Chang, et al. (2020), Wickham (2016)
- {tibble}: Müller and Wickham (2020)
- {tidyr}: Wickham and Henry (2020)
- {readr}: Wickham, Hester, and Francois (2018)
- {purrr}: Henry and Wickham (2020)
- {dplyr}: Wickham, François, Henry, and Müller (2020)
- {stringr}: Wickham (2019a)
- {forcats}: Wickham (2020))
{data.table}: Dowle and Srinivasan (2019)

Module 08

{tidyverse}: Wickham (2019b), Wickham, Averick, et al. (2019)
{readxl}: Wickham and Bryan (2019)
{XLConnect}: Mirai Solutions GmbH (2020)
{gdata}: Warnes et al. (2017)
{xlsx}: Dragulescu and Arendt (2020)
{curl}: Ooms (2019)
{rdrop2}: Ram and Yochum (2017)
{repmis}: Gandrud (2016)
{googlesheets4}: Bryan (2020)
{googledrive}: D’Agostino McGowan and Bryan (2019)

Module 09

{tidyverse}: Wickham (2019b), Wickham, Averick, et al. (2019)
{magrittr}: Bache and Wickham (2014)
{tidylog}: Elbers (2020)

Module 10

{tidyverse}: Wickham (2019b), Wickham, Averick, et al. (2019)
{curl}: Ooms (2019)
{skimr}: Waring et al. (2020)
{summarytools}: Comtois (2020)
{dataMaid}: Petersen and Ekstrøm (2019a), Petersen and Ekstrøm (2019b)
{psych}: Revelle (2020)
{pastecs}: Grosjean and Ibanez (2018)
{Hmisc}: Harrell (2020)
{ggExtra}: Attali and Baker (2019)
{car}: Fox, Weisberg, and Price (2020), Fox and Weisberg (2019)
{GGally}: Schloerke et al. (2020)
{corrplot}: Wei and Simko (2017a), Wei and Simko (2017b)
{patchwork}: Pedersen (2019)
{cowplot}: Wilke (2019)
{gridExtra}: Auguie (2017)

Module 11

{tidyverse}: Wickham (2019b), Wickham, Averick, et al. (2019)
{sjmisc}: Lüdecke (2020), Lüdecke (2018b)

Module 12

{tidyverse}: Wickham (2019b), Wickham, Averick, et al. (2019)
{moments}: Komsta and Novomestky (2022)
{mosaic}: Pruim, Kaplan, and Horton (2020), Pruim, Kaplan, and Horton (2017)
{radiant}: Nijs (2020)
{sciplot}: Morales, with code developed by the R Development Core Team, and with general advice from the R-help listserv community and especially Duncan Murdoch. (2020)

Module 13

{tidyverse}: Wickham (2019b), Wickham, Averick, et al. (2019)
{mosaic}: Pruim et al. (2020), Pruim et al. (2017)
{cowplot}: Wilke (2019)
{manipulate}: Allaire (2014)

Module 14

{tidyverse}: Wickham (2019b), Wickham, Averick, et al. (2019)
{mosaic}: Pruim et al. (2020), Pruim et al. (2017)
{manipulate}: Allaire (2014)
{boot}: Canty and Ripley (2020), Davison and Hinkley (1997)

Module 15

{tidyverse}: Wickham (2019b), Wickham, Averick, et al. (2019)
{mosaic}: Pruim et al. (2020), Pruim et al. (2017)

Module 16

{tidyverse}: Wickham (2019b), Wickham, Averick, et al. (2019)
{mosaic}: Pruim et al. (2020), Pruim et al. (2017)
{coin}: Hothorn, Winell, Hornik, van de Wiel, and Zeileis (2019), Hothorn, Hornik, van de Wiel, and Zeileis (2006), Hothorn, Hornik, van de Wiel, and Zeileis (2008)
{jmuOutlier}: Garren (2019)
{infer}: Bray, Ismay, Chasnovski, Baumer, and Cetinkaya-Rundel (2019)

Module 17

{tidyverse}: Wickham (2019b), Wickham, Averick, et al. (2019)
{manipulate}: Allaire (2014)

Module 18

{tidyverse}: Wickham (2019b), Wickham, Averick, et al. (2019)
{manipulate}: Allaire (2014)
{patchwork}: Pedersen (2019)
{infer}: Bray et al. (2019)
{broom}: Robinson and Hayes (2020)
{lmodel2}: Legendre (2018)

Module 19

{tidyverse}: Wickham (2019b), Wickham, Averick, et al. (2019)
{car}: Fox et al. (2020), Fox and Weisberg (2019)
{ggpubr}: @-R-ggpubr

Module 20

{tidyverse}: Wickham (2019b), Wickham, Averick, et al. (2019)
{car}: Fox et al. (2020), Fox and Weisberg (2019)
{broom}: Robinson and Hayes (2020)
{coin}: Hothorn, Winell, et al. (2019), Hothorn et al. (2006), Hothorn et al. (2008)
{infer}: Bray et al. (2019)
{dunn.test}: Dinno (2017b)
{conover.test}: Dinno (2017a)
{effectsize}: Ben-Shachar, Lüdecke, and Makowski (2020a), Ben-Shachar, Lüdecke, and Makowski (2020b)
{datawizard}: Patil et al. (2022a), Patil et al. (2022b)
{sjPlot}: Lüdecke (2023)
{emmeans}, Lenth and Piaskowski (2026)
{permuco}: Frossard and Renaud (2019)

Module 21

{jtools}: Long (2020)
{tidyverse}: Wickham (2019b), Wickham, Averick, et al. (2019)
{broom}: Robinson and Hayes (2020)
{car}: Fox et al. (2020), Fox and Weisberg (2019)
{gridExtra}: Auguie (2017)
{effects}: Fox and Hong (2009a), Fox and Hong (2009b)

Module 22

{tidyverse}: Wickham (2019b), Wickham, Averick, et al. (2019)
{MASS}: Ripley (2019), Venables and Ripley (2002)
{AICcmodavg}: Mazerolle and portions of code contributed by Dan Linden. (2019)
{MuMIn}: Bartoń (2020)

Module 23

{tidyverse}: Wickham (2019b), Wickham, Averick, et al. (2019)
{broom}: Robinson and Hayes (2020)
{patchwork}: Pedersen (2019)
{lmtest}: Hothorn, Zeileis, Farebrother, and Cummins (2019), Zeileis and Hothorn (2002)

Module 24

{tidyverse}: Wickham (2019b), Wickham, Averick, et al. (2019)
{lmtest}: Hothorn, Zeileis, et al. (2019), Zeileis and Hothorn (2002)
{AICcmodavg}: Mazerolle and portions of code contributed by Dan Linden. (2019)
{lme4}: Bates, Maechler, Bolker, and Walker (2020), Bates, Mächler, Bolker, and Walker (2015)
{redres}: Goode, McClernon, Zhao, Zhang, and Huo. (2024)
{DHARMa}: Hartig (2024)
{effects}: Fox and Hong (2009a), Fox and Hong (2009b)
{cowplot}: Wilke (2019)
{sjPlot}: Lüdecke (2023)
{MuMIn}: Bartoń (2020)
{mixedup}: Clark (2024)
{glmmML}: Broström (2020)
{MASS}: Ripley (2019)
{performance}: Lüdecke (2021), Lüdecke, Ben-Shachar, Patil, Waggoner, and Makowski (2021)

Maximum Likelihood Estimation

{tidyverse}: Wickham (2019b), Wickham, Averick, et al. (2019)
{mosaic}: Pruim et al. (2020), Pruim et al. (2017)
{bbmle}: Bolker and R Development Core Team (2023)
{maxLik}: Toomet and Henningsen (2024)

Bayesian Inference

{tidyverse}: Wickham (2019b), Wickham, Averick, et al. (2019)
{brms}: Bürkner (2025), Bürkner (2017), Bürkner (2018), Bürkner (2021)
{bayesplot}: Gabry and Mahr (2025), Gabry, Simpson, Vehtari, Betancourt, and Gelman (2019)
{tidybayes}: Kay (2024)

Using Python from R

{tidyverse}: Wickham (2019b), Wickham, Averick, et al. (2019)
{broom}: Robinson and Hayes (2020)
{reticulate}: Ushey, Allaire, and Tang (2020)

Building Custom R Packages

{tidyverse}: Wickham (2019b), Wickham, Averick, et al. (2019)
{devtools}: Wickham, Hester, and Chang (2020)
{usethis}: Wickham and Bryan (2020)
{roxygen2}: Wickham, Danenberg, Csárdi, and Eugster (2020)
{withr}: Hester, Müller, Ushey, Wickham, and Chang (2020)
{manipulate}: Allaire (2014)

Building Interactive Web Apps

{tidyverse}: Wickham (2019b), Wickham, Averick, et al. (2019)
{shiny}: Chang, Cheng, Allaire, Xie, and McPherson (2020)
{DT}: Xie, Cheng, and Tan (2020)

Working with and Managing Packages

{easypackages}: Sherman (2016)
{pacman}: Rinker and Kurkiewicz (2018)
{librarian}: Quintans (2021)
{Require}: McIntire (2024)

In Exercises

{emayili}: Collier (2021)
{tidyverse}: Wickham (2019b), Wickham, Averick, et al. (2019)
{mailR}: Premraj (2021),
{blastula}: Iannone and Cheng (2020)
{usethis}: Wickham and Bryan (2020)
{emo}: Wickham, François, and D’Agostino McGowan (2019)
{sjmisc}: Lüdecke (2020)
{huxtable}: Hugh-Jones (2021)
{cowplot}: Wilke (2019)
{mosaic}: Pruim et al. (2020), Pruim et al. (2017)
{kableExtra}: Zhu (2019)
{ggpubr}: Kassambara (2020)
{infer}: Bray et al. (2019)
{DHARMa}: Hartig (2024)
{broom}: Robinson and Hayes (2020)
{broom.mixed}: Robinson and Hayes (2020)
{sjPlot}: Robinson and Hayes (2020)
{ggeffects}: (R-ggeffects?), ggeffects2018
{performance}: Lüdecke (2021), Lüdecke et al. (2021)

Complete List

{AICcmodavg}: Mazerolle and portions of code contributed by Dan Linden. (2019)
{bayesplot}: Gabry and Mahr (2025), Gabry et al. (2019)
{BBmisc}: Bischl et al. (2017)
{bbmle}: Bolker and R Development Core Team (2023)
{blastula}: Iannone and Cheng (2020)
{boot}: Canty and Ripley (2020), Davison and Hinkley (1997)
{broom}: Robinson and Hayes (2020)
{broom.mixed}: Bolker and Robinson (2026)
{brms}: Bürkner (2025), Bürkner (2017), Bürkner (2018), Bürkner (2021)
{car}: Fox et al. (2020), Fox and Weisberg (2019)
{coin}: Hothorn, Winell, et al. (2019), Hothorn et al. (2006), Hothorn et al. (2008)
{collape}: Krantz (2020)
{conover.test}: Dinno (2017a)
{corrplot}: Wei and Simko (2017a), Wei and Simko (2017b)
{cowplot}: Wilke (2019)
{curl}: Ooms (2019)
{data.table}: Dowle and Srinivasan (2019)
{dataMaid}: Petersen and Ekstrøm (2019a), Petersen and Ekstrøm (2019b)
{datawizard}: Patil et al. (2022a), Patil et al. (2022b)
{devtools}: Wickham, Hester, et al. (2020)
{DHARMa}: Hartig (2024)
{dplyr}: Wickham, François, et al. (2020)
{DT}: Xie et al. (2020)
{dunn.test}: Dinno (2017b)
{emayili}: Collier (2021)
{easypackages}: Sherman (2016)
{effects}: Fox and Hong (2009a), Fox and Hong (2009b)
{effectsize}: Ben-Shachar et al. (2020a), Ben-Shachar et al. (2020b)
{emmeans}: Lenth and Piaskowski (2026)
{emo}: Wickham, François, et al. (2019)
{forcats}: Wickham (2020)
{gdata}: Warnes et al. (2017)
{GGally}: Schloerke et al. (2020)
{ggeffects}: (R-ggeffects?), Lüdecke (2018a)
{ggExtra}: Attali and Baker (2019)
{ggplot2}: Wickham, Chang, et al. (2020), Wickham (2016)
{ggpubr}: Kassambara (2020)
{glmmML}: Broström (2020)
{googledrive}: D’Agostino McGowan and Bryan (2019)
{googlesheets4}: Bryan (2020)
{gridExtra}: Auguie (2017)
{Hmisc}: Harrell (2020)
{huxtable}: Hugh-Jones (2021)
{infer}: Bray et al. (2019)
{jmuOutlier}: Garren (2019)
{jtools}: Long (2020)
{kableExtra}: Zhu (2019)
{knitr}: Xie (2020), Xie (2014), Xie (2015)
{librarian}: Quintans (2021)
{lme4}: Bates et al. (2020), Bates et al. (2015)
{lmodel2}: Legendre (2018)
{lmtest}: Hothorn, Zeileis, et al. (2019), Zeileis and Hothorn (2002)
{magrittr}: Bache and Wickham (2014)
{manipulate}: Allaire (2014)
{MASS}: Ripley (2019), Venables and Ripley (2002)
{maxLik}: Toomet and Henningsen (2024), Henningsen and Toomet (2011)
{mixedup}: Clark (2024)
{moments}: Komsta and Novomestky (2022)
{mosaic}: Pruim et al. (2020), Pruim et al. (2017)
{MuMIn}: Bartoń (2020)
{pacman}: Rinker and Kurkiewicz (2018)
{pastecs}: Grosjean and Ibanez (2018)
{patchwork}: Pedersen (2019)
{performance}: Lüdecke (2021), Lüdecke et al. (2021)
{permuco}: Frossard and Renaud (2019)
{psych}: Revelle (2020)
{purrr}: Henry and Wickham (2020)
{radiant}: Nijs (2020)
{rdrop2}: Ram and Yochum (2017)
{readr}: Wickham et al. (2018)
{redres}: Goode et al. (2024)
{readxl}: Wickham and Bryan (2019)
{renv}: Ushey and Wickham (2025)
{repmis}: Gandrud (2016)
{Require}: McIntire (2024)
{reticulate}: Ushey et al. (2020)
{roxygen2}: Wickham, Danenberg, et al. (2020)
{scales}: Wickham and Seidel (2019)
{sciplot}: Morales et al. (2020)
{shiny}: Chang et al. (2020)
{sjmisc}: Lüdecke (2020), Lüdecke (2018b)
{skimr}: Waring et al. (2020)
{sjPlot}: Lüdecke (2023)
{stringr}: Wickham (2019a)
{summarytools}: Comtois (2020)
{tibble}: Müller and Wickham (2020)
{tictoc}: Izrailev (2014)
{tidybayes}: Kay (2024)
{tidyr}: Wickham and Henry (2020)
{tidyverse}: Wickham (2019b), Wickham, Averick, et al. (2019)
{usethis}: Wickham and Bryan (2020)
{withr}: Hester et al. (2020)
{XLConnect}: Mirai Solutions GmbH (2020)
{xlsx}: Dragulescu and Arendt (2020)

Allaire J. (2014). manipulate: Interactive plots for RStudio. https://CRAN.R-project.org/package=manipulate

Attali D, and Baker C. (2019). ggExtra: Add marginal histograms to ’ggplot2’, and more ’ggplot2’ enhancements. https://CRAN.R-project.org/package=ggExtra

Auguie B. (2017). gridExtra: Miscellaneous functions for "grid" graphics. https://CRAN.R-project.org/package=gridExtra

Bache SM, and Wickham H. (2014). magrittr: A forward-pipe operator for R. https://CRAN.R-project.org/package=magrittr

Bartoń K. (2020). MuMIn: Multi-model inference. https://CRAN.R-project.org/package=MuMIn

Bates D, Mächler M, Bolker B, and Walker S. (2015). Fitting linear mixed-effects models using lme4. Journal of Statistical Software 67: 1–48. https://doi.org/10.18637/jss.v067.i01

Bates D, Maechler M, Bolker B, and Walker S. (2020). lme4: Linear mixed-effects models using ’eigen’ and S4. https://CRAN.R-project.org/package=lme4

Ben-Shachar MS, Lüdecke D, and Makowski D. (2020a). effectsize: Estimation of effect size indices and standardized parameters. https://CRAN.R-project.org/package=effectsize

Ben-Shachar MS, Lüdecke D, and Makowski D. (2020b). effectsize: Estimation of effect size indices and standardized parameters. Journal of Open Source Software 5: article 2815. https://doi.org/10.21105/joss.02815

Bischl B, Lang M, Bossek J, Horn D, Richter J, and Surmann D. (2017). BBmisc: Miscellaneous helper functions for B. Bischl. https://CRAN.R-project.org/package=BBmisc

Bolker B, and R Development Core Team. (2023). Bbmle: Tools for general maximum likelihood estimation. https://CRAN.R-project.org/package=bbmle

Bolker B, and Robinson D. (2026). Broom.mixed: Tidying methods for mixed models. https://CRAN.R-project.org/package=broom.mixed

Bray A, Ismay C, Chasnovski E, Baumer B, and Cetinkaya-Rundel M. (2019). infer: Tidy statistical inference. https://CRAN.R-project.org/package=infer

Broström G. (2020). glmmML: Generalized linear models with clustering. https://CRAN.R-project.org/package=glmmML

Bryan J. (2020). googlesheets4: Access Google Sheets using the Sheets API V4. https://CRAN.R-project.org/package=googlesheets4

Bürkner P-C. (2017). brms: An R package for Bayesian multilevel models using Stan. Journal of Statistical Software 80: 1–28. https://doi.org/10.18637/jss.v080.i01

Bürkner P-C. (2018). Advanced Bayesian multilevel modeling with the R package brms. The R Journal 10: 395–411. https://doi.org/10.32614/RJ-2018-017

Bürkner P-C. (2021). Bayesian item response modeling in R with brms and Stan. Journal of Statistical Software 100: 1–54. https://doi.org/10.18637/jss.v100.i05

Bürkner P-C. (2025). brms: Bayesian regression models using ’stan’. https://cran.r-project.org/package=brms

Canty A, and Ripley B. (2020). boot: Bootstrap functions (originally by Angelo Canty for S). https://CRAN.R-project.org/package=boot

Chang W, Cheng J, Allaire J, Xie Y, and McPherson J. (2020). shiny: Web application framework for R. https://CRAN.R-project.org/package=shiny

Clark M. (2024). Mixedup: Miscellaneous functions for mixed models. https://m-clark.github.io/mixedup

Collier AB. (2021). Emayili: Send email messages. https://CRAN.R-project.org/package=emayili

Comtois D. (2020). summarytools: Tools to quickly and neatly summarize data. https://CRAN.R-project.org/package=summarytools

D’Agostino McGowan L, and Bryan J. (2019). googledrive: An interface to Google Drive. https://CRAN.R-project.org/package=googledrive

Davison AC, and Hinkley DV. (1997). Bootstrap Methods and Their Applications. Cambridge: Cambridge University Press. http://statwww.epfl.ch/davison/BMA/

Dinno A. (2017a). conover.test: Conover-Iman test of multiple comparisons using rank sums. https://CRAN.R-project.org/package=conover.test

Dinno A. (2017b). dunn.test: Dunn’s test of multiple comparisons using rank sums. https://CRAN.R-project.org/package=dunn.test

Dowle M, and Srinivasan A. (2019). data.table: Extension of ’data.frame’. https://CRAN.R-project.org/package=data.table

Dragulescu A, and Arendt C. (2020). xlsx: Read, write, format Excel 2007 and Excel 97/2000/XP/2003 files. https://CRAN.R-project.org/package=xlsx

Elbers B. (2020). tidylog: Logging for ’dplyr’ and ’tidyr’ functions. https://CRAN.R-project.org/package=tidylog

Fox J, and Hong J. (2009a). Effect displays in R for multinomial and proportional-odds logit models: Extensions to the effects package. https://CRAN.R-project.org/package=effects

Fox J, and Hong J. (2009b). Effect displays in R for multinomial and proportional-odds logit models: Extensions to the effects package. Journal of Statistical Software 32: 1–24. https://doi.org/10.18637/jss.v032.i01

Fox J, and Weisberg S. (2019). An R Companion to Applied Regression (Third Edition). Thousand Oaks CA: Sage. https://socialsciences.mcmaster.ca/jfox/Books/Companion/

Fox J, Weisberg S, and Price B. (2020). car: Companion to applied regression. https://CRAN.R-project.org/package=car

Frossard J, and Renaud O. (2019). permuco: Permutation tests for regression, (repeated measures) ANOVA/ANCOVA and comparison of signals. https://CRAN.R-project.org/package=permuco

Gabry J, and Mahr T. (2025). Bayesplot: Plotting for bayesian models. https://CRAN.R-project.org/package=bayesplot

Gabry J, Simpson D, Vehtari A, Betancourt M, and Gelman A. (2019). Visualization in bayesian workflow. Journal of the Royal Statistical Society Series A 182: 389–402. https://doi.org/10.1111/rssa.12378

Gandrud C. (2016). repmis: Miscellaneous tools for reproducible research. https://CRAN.R-project.org/package=repmis

Garren ST. (2019). jmuOutlier: Permutation tests for nonparametric statistics. https://CRAN.R-project.org/package=jmuOutlier

Goode K, McClernon K, Zhao J, Zhang Y, and Huo. Y. (2024). Redres: Residuals and diagnostic plots for mixed models. https://github.com/goodekat/redres.git

Grosjean P, and Ibanez F. (2018). pastecs: Package for analysis of space-time ecological series. https://CRAN.R-project.org/package=pastecs

Harrell FE Jr. (2020). Hmisc: Harrell miscellaneous. https://CRAN.R-project.org/package=Hmisc

Hartig F. (2024). DHARMa: Residual diagnostics for hierarchical (multi-level / mixed) regression models. https://CRAN.R-project.org/package=DHARMa

Henningsen A, and Toomet O. (2011). maxLik: A package for maximum likelihood estimation in R. Computational Statistics 26: 443–458. http://dx.doi.org/10.1007/s00180-010-0217-1

Henry L, and Wickham H. (2020). purrr: Functional programming tools. https://CRAN.R-project.org/package=purrr

Hester J, Müller K, Ushey K, Wickham H, and Chang W. (2020). withr: Run code ’with’ temporarily modified global state. https://CRAN.R-project.org/package=withr

Hothorn T, Hornik K, van de Wiel MA, and Zeileis A. (2006). A Lego system for conditional inference. The American Statistician 60: 257–263. https://doi.org/10.1198/000313006X118430

Hothorn T, Hornik K, van de Wiel MA, and Zeileis A. (2008). Implementing a class of permutation tests: The coin package. Journal of Statistical Software 28: 1–23. https://doi.org/10.18637/jss.v028.i08

Hothorn T, Winell H, Hornik K, van de Wiel MA, and Zeileis A. (2019). coin: Conditional inference procedures in a permutation test framework. https://CRAN.R-project.org/package=coin

Hothorn T, Zeileis A, Farebrother RW, and Cummins C. (2019). lmtest: Testing linear regression models. https://CRAN.R-project.org/package=lmtest

Hugh-Jones D. (2021). Huxtable: Easily create and style tables for LaTeX, HTML and other formats. https://CRAN.R-project.org/package=huxtable

Iannone R, and Cheng J. (2020). Blastula: Easily send HTML email messages. https://CRAN.R-project.org/package=blastula

Izrailev S. (2014). tictoc: Functions for timing R scripts, as well as implementations of stack and list structures. https://CRAN.R-project.org/package=tictoc

Kassambara A. (2020). Ggpubr: ggplot2 based publication ready plots. https://rpkgs.datanovia.com/ggpubr/

Kay M. (2024). tidybayes: Tidy data and geoms for Bayesian models. http://mjskay.github.io/tidybayes/

Komsta L, and Novomestky F. (2022). Moments: Moments, cumulants, skewness, kurtosis and related tests. https://CRAN.R-project.org/package=moments

Krantz S. (2020). collapse: Advanced and fast data transformation. https://CRAN.R-project.org/package=collapse

Legendre P. (2018). lmodel2: Model II regression. https://CRAN.R-project.org/package=lmodel2

Lenth RV, and Piaskowski J. (2026). Emmeans: Estimated marginal means, aka least-squares means. https://CRAN.R-project.org/package=emmeans

Long JA. (2020). jtools: Analysis and presentation of social scientific data. https://CRAN.R-project.org/package=jtools

Lüdecke D. (2018a). Ggeffects: Tidy data frames of marginal effects from regression models. Journal of Open Source Software 3: article 772. https://doi.org/10.21105/joss.00772

Lüdecke D. (2018b). sjmisc: Data and variable transformation functions. Journal of Open Source Software 3: article 754.

Lüdecke D. (2020). sjmisc: Data and variable transformation functions. https://CRAN.R-project.org/package=sjmisc

Lüdecke D. (2021). performance: Assessment of regression models performance. https://CRAN.R-project.org/package=performance

Lüdecke D. (2023). sjPlot: Data visualization for statistics in social science. https://CRAN.R-project.org/package=sjPlot

Lüdecke D, Ben-Shachar MS, Patil I, Waggoner P, and Makowski D. (2021). performance: An R package for assessment, comparison and testing of statistical models. Journal of Open Source Software 6: article 3139. https://doi.org/10.21105/joss.03139

Mazerolle MJ, and portions of code contributed by Dan Linden. (2019). AICcmodavg: Model selection and multimodel inference based on (Q)AIC(c). https://CRAN.R-project.org/package=AICcmodavg

McIntire EJB. (2024). Require: Installing and loading r packages for reproducible workflows. https://CRAN.R-project.org/package=Require

Mirai Solutions GmbH. (2020). XLConnect: Excel connector for R. https://CRAN.R-project.org/package=XLConnect

Morales M, with code developed by the R Development Core Team, and with general advice from the R-help listserv community and especially Duncan Murdoch. (2020). sciplot: Scientific graphing functions for factorial designs. https://CRAN.R-project.org/package=sciplot

Müller K, and Wickham H. (2020). tibble: Simple data frames. https://CRAN.R-project.org/package=tibble

Nijs V. (2020). radiant: Business analytics using R and Shiny. https://CRAN.R-project.org/package=radiant

Ooms J. (2019). curl: A modern and flexible web client for R. https://CRAN.R-project.org/package=curl

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