References

Arel-Bundock, Vincent, Noah Greifer, and Andrew Heiss. Forthcoming. “How to Interpret Statistical Models Using marginaleffects in R and Python.” Journal of Statistical Software, Forthcoming. https://marginaleffects.com.
Arif, Suchinta, and M Aaron MacNeil. 2022. “Predictive Models Aren’t for Causal Inference.” Ecology Letters 25 (8): 1741–45. https://doi.org/10.1111/ele.14033.
Baayen, R. H. 2008. Analyzing linguistic data: A practical introduction to statistics using R. Cambridge: Cambridge University Press.
Baayen, R. H., and Elnaz Shafaei-Bajestan. 2019. languageR: Analyzing Linguistic Data: A Practical Introduction to Statistics. https://CRAN.R-project.org/package=languageR.
Barreda, Santiago, and Noah Silbert. 2023. Bayesian Multilevel Models for Repeated Measures Data: A Conceptual and Practical Introduction in r. Taylor & Francis. https://santiagobarreda.com/bmmrmd/.
Brown, J., and M. Sonderegger. 2025. A sociophonetic study of creaky voice across language, gender and age in Canadian English-French bilinguals.” Journal of Phonetics 112: 101341. https://doi.org/10.1016/j.wocn.2025.101431.
Bürkner, Paul-Christian. 2024. “Estimating Multivariate Models with Brms.” https://cran.r-project.org/web/packages/brms/vignettes/brms_multivariate.html.
Bürkner, Paul-Christian, Jonah Gabry, Matthew Kay, and Aki Vehtari. 2024. “Posterior: Tools for Working with Posterior Distributions.” https://mc-stan.org/posterior/.
Bürkner, Paul-Christian, and Matti Vuorre. 2019. “Ordinal Regression Models in Psychology: A Tutorial.” Advances in Methods and Practices in Psychological Science 2 (1): 77–101.
Ciaccio, Laura Anna, and João Verı́ssimo. 2022. “Investigating Variability in Morphological Processing with Bayesian Distributional Models.” Psychonomic Bulletin & Review 29 (6): 2264–74.
Croissant, Yves. 2020. “Estimation of Random Utility Models in R: The mlogit Package.” Journal of Statistical Software 95 (11): 1–41. https://doi.org/10.18637/jss.v095.i11.
Flego, Stefon, and Jon Forrest. 2021. “Leveraging the Temporal Dynamics of Anticipatory Vowel-to-Vowel Coarticulation in Linguistic Prediction: A Statistical Modeling Approach.” Journal of Phonetics 88: 101093.
Gabry, Jonah, and Tristan Mahr. 2024. “Bayesplot: Plotting for Bayesian Models.” https://mc-stan.org/bayesplot/.
Gabry, Jonah, Daniel Simpson, Aki Vehtari, Michael Betancourt, and Andrew Gelman. 2019. “Visualization in Bayesian Workflow.” Journal of the Royal Statistical Society: Series A (Statistics in Society) 182 (2): 389–402.
Gelman, Andrew. 2006. “Prior Distributions for Variance Parameters in Hierarchical Models (Comment on Article by Browne and Draper).” Bayesian Analysis 1 (3): 515–34.
Gelman, Andrew, and Jennifer Hill. 2007. Data analysis using regression and multilevel/hierarchical models. Cambridge: Cambridge University Press.
Gronau, Quentin F., Henrik Singmann, and Eric-Jan Wagenmakers. 2020. bridgesampling: An R Package for Estimating Normalizing Constants.” Journal of Statistical Software 92 (10): 1–29. https://doi.org/10.18637/jss.v092.i10.
Gubian, Michele, Jonathan Harrington, Mary Stevens, Florian Schiel, and Paul Warren. 2019. “Tracking the New Zealand English NEAR/SQUARE Merger Using Functional Principal Components Analysis.” In Proceedings of Interspeech 2019, 296–300. https://doi.org/10.21437/Interspeech.2019-2115.
Happ, Clara, and Sonja Greven. 2018. “Multivariate Functional Principal Component Analysis for Data Observed on Different (Dimensional) Domains.” Journal of the American Statistical Association 113: 649–59. https://doi.org/10.1080/01621459.2016.1273115.
Happ-Kurz, Clara. 2022. MFPCA: Multivariate Functional Principal Component Analysis for Data Observed on Different Dimensional Domains. https://github.com/ClaraHapp/MFPCA.
Hernan, M. A., and J. M. Robins. 2024. Causal Inference: What If. CRC Press.
Kay, Matthew. 2023. tidybayes: Tidy Data and Geoms for Bayesian Models. https://doi.org/10.5281/zenodo.1308151.
Kirby, James, and Morgan Sonderegger. 2018. “Mixed-Effects Design Analysis for Experimental Phonetics.” Journal of Phonetics 70: 70–85.
Kruschke, John K. 2018. “Rejecting or Accepting Parameter Values in Bayesian Estimation.” Advances in Methods and Practices in Psychological Science 1 (2): 270–80.
Kurz, S. 2023. Statistical Rethinking (Second Edition) with Brms, Ggplot2, and the Tidyverse. https://bookdown.org/content/4857/.
Lemoine, Nathan P. 2019. “Moving Beyond Noninformative Priors: Why and How to Choose Weakly Informative Priors in Bayesian Analyses.” Oikos 128 (7): 912–28.
Lenth, Russell V. 2024. Emmeans: Estimated Marginal Means, Aka Least-Squares Means. https://CRAN.R-project.org/package=emmeans.
Levshina, Natalia. 2015. How to do linguistics with R: Data exploration and statistical analysis. John Benjamins.
Lobanov, Boris. 1971. “Classification of Russian Vowels Spoken by Different Speakers.” Journal of the Acoustical Society of America 49 (2B): 606–8. https://pubs.aip.org/asa/jasa/article-abstract/49/2B/606/747097/Classification-of-Russian-Vowels-Spoken-by.
Makowski, Dominique, Mattan S Ben-Shachar, and Daniel Lüdecke. 2019. “bayestestR: Describing Effects and Their Uncertainty, Existence and Significance Within the Bayesian Framework.” Journal of Open Source Software 4 (40): 1541.
Malinsky, Daniel, and David Danks. 2018. “Causal Discovery Algorithms: A Practical Guide.” Philosophy Compass 13 (1): e12470. https://doi.org/10.1111/phc3.12470.
McElreath, Richard. 2020. Statistical Rethinking: A Bayesian Course with Examples in R and Stan. Second. Chapman; Hall/CRC.
Nicenboim, B., D. Schad, and S. Vaishth. 2024. An Introduction to Bayesian Data Analysis for Cognitive Science. https://vasishth.github.io/bayescogsci/book/. 5/2024 version.
Pearl, Judea. 2009. Causal inference in statistics: An overview.” Statistics Surveys 3: 96–146. https://doi.org/10.1214/09-SS057.
Puggaard-Rode, Rasmus. 2023. “The /t/ Release in Jutland Danish. Decomposing the Spectrum with Functional PCA.” In Proceedings of the 20th International Congress of Phonetic Sciences, 3262–66. Prague: Guarant International. https://rpuggaardrode.github.io/icphs2023/.
Ramsay, James. 2024. Fda: Functional Data Analysis. https://CRAN.R-project.org/package=fda.
Reddy, Siva, Diana McCarthy, and Suresh Manandhar. 2011. “An Empirical Study on Compositionality in Compound Nouns.” In Proceedings of 5th International Joint Conference on Natural Language Processing, 210–18.
Rohrer, Julia M. 2018. “Thinking Clearly about Correlations and Causation: Graphical Causal Models for Observational Data.” Advances in Methods and Practices in Psychological Science 1 (1): 27–42. https://doi.org/10.1177/2515245917745.
Schad, Daniel J, Bruno Nicenboim, Paul-Christian Bürkner, Michael Betancourt, and Shravan Vasishth. 2023. “Workflow Techniques for the Robust Use of Bayes Actors.” Psychological Methods 28 (6): 1404–26.
Simpson, Gavin L. 2024. gratia: Graceful ggplot-Based Graphics and Other Functions for GAMs Fitted Using mgcv. https://gavinsimpson.github.io/gratia/.
Smith, I., M. Sonderegger, and The SPADE Consortium. 2024. Modelled Multivariate Overlap: A method for measuring vowel merger.” In Proceedings of Interspeech 2024, 457–61.
Sonderegger, Morgan. 2023. Regression Modeling for Linguistic Data. MIT Press, https://osf.io/pnumg/, preprint at https://github.com/msonderegger/rmld-v1.1/.
Sonderegger, Morgan, Jane Stuart-Smith, and Jeff Mielke. 2023. “How Variable Are English Sibilants?” In Proceedings of the 20th International Congress of Phonetic Sciences, 3196–3200. Prague.
Sóskuthy, Márton. 2017. “Generalised Additive Mixed Models for Dynamic Analysis in Linguistics: A Practical Introduction.” arXiv Preprint arXiv:1703.05339.
———. 2021. “Evaluating Generalised Additive Mixed Modelling Strategies for Dynamic Speech Analysis.” Journal of Phonetics 84: 101017.
Stanley, Joey. 2020. Joeysvowels: Datasets Based on My Speech. https://github.com/joeystanley/joeysvowels.
Tabak, Wieke M, Robert Schreuder, and R Harald Baayen. 2005. “Lexical Statistics and Lexical Processing: Semantic Density, Information Complexity, Sex, and Irregularity in Dutch.” In Linguistic Evidence, edited by Stephan Kepser and Marga Reis, 529–56. De Gruyter Mouton.
van Rij, Jacolien, Martijn Wieling, R. Harald Baayen, and Hedderik van Rijn. 2022. itsadug: Interpreting Time Series and Autocorrelated Data Using GAMMs.
Vehtari, Aki, Jonah Gabry, Måns Magnusson, Yuling Yao, Paul-Christian Bürkner, Topi Paananen, and Andrew Gelman. 2024. “Loo: Efficient Leave-One-Out Cross-Validation and WAIC for Bayesian Models.” https://mc-stan.org/loo/.
Vehtari, Aki, Andrew Gelman, and Jonah Gabry. 2017. “Practical Bayesian Model Evaluation Using Leave-One-Out Cross-Validation and WAIC.” Statistics and Computing 27: 1413–32. https://doi.org/10.1007/s11222-016-9696-4.
Wesner, Jeff S, and Justin PF Pomeranz. 2021. “Choosing Priors in Bayesian Ecological Models by Simulating from the Prior Predictive Distribution.” Ecosphere 12 (9): e03739.
Winter, Bodo, and Paul-Christian Bürkner. 2021. “Poisson Regression for Linguists: A Tutorial Introduction to Modelling Count Data with Brms.” Language and Linguistics Compass 15 (11): e12439.
Wolock, T. M. 2020. “Distributional Regression Models: A Brms Tutorial.” https://www.tmwolock.com/index.php/2020/12/18/distributional-regression-models-brms-tutorial/.
Wood, Simon N. 2017. Generalized Additive Models: An Introduction with R. Second. Boca Raton, FL: Chapman; Hall/CRC.
Zhou, Yidong, Han Chen, Su I Iao, Poorbita Kundu, Hang Zhou, Satarupa Bhattacharjee, Cody Carroll, et al. 2024. fdapace: Functional Data Analysis and Empirical Dynamics. https://CRAN.R-project.org/package=fdapace.