BayesFactor

R package BayesFactor: Computation of Bayes factors for common designs. The BayesFactor package is a suite of functions for computing various Bayes factors for simple designs, including contingency tables, one- and two-sample designs, one-way designs, general ANOVA designs, and linear regression.


References in zbMATH (referenced in 20 articles )

Showing results 1 to 20 of 20.
Sorted by year (citations)

  1. Gronau, Q. F., Raj K. N., A., Wagenmakers, E.-J.: Informed Bayesian Inference for the A/B Test (2021) not zbMATH
  2. Hyemin Han: BayesFactorFMRI: Implementing Bayesian Second-Level fMRI Analysis with Multiple Comparison Correction and Bayesian Meta-Analysis of fMRI Images with Multiprocessing (2021) not zbMATH
  3. Indrajeet Patil: statsExpressions: R Package for Tidy Dataframes and Expressions with Statistical Details (2021) not zbMATH
  4. Mulder, J., Williams, D. R., Gu, X., Tomarken, A., Böing-Messing, F., Olsson-Collentine, A., Meijerink-Bosman, M., Menke, J., van Aert, R., Fox, J.-P., Hoijtink, H., Rosseel, Y., Wagenmakers, E.-J., van Lissa, C.: BFpack: Flexible Bayes Factor Testing of Scientific Theories in R (2021) not zbMATH
  5. Bott, Franziska M.; Heck, Daniel W.; Meiser, Thorsten: Parameter validation in hierarchical MPT models by functional dissociation with continuous covariates: an application to contingency inference (2020)
  6. Coscrato, Victor; Izbicki, Rafael; Stern, Rafael B.: Agnostic tests can control the type I and type II errors simultaneously (2020)
  7. van Doorn, J.; Ly, A.; Marsman, M.; Wagenmakers, E.-J.: Bayesian rank-based hypothesis testing for the rank sum test, the signed rank test, and Spearman’s (\rho) (2020)
  8. Annis, Jeffrey; Evans, Nathan J.; Miller, Brent J.; Palmeri, Thomas J.: Thermodynamic integration and steppingstone sampling methods for estimating Bayes factors: a tutorial (2019)
  9. Dominique Makowski, Mattan S. Ben-Shachar, Daniel Lüdecke: bayestestR: Describing Effects and their Uncertainty, Existence and Significance within the Bayesian Framework (2019) not zbMATH
  10. Jonathon Love; Ravi Selker; Maarten Marsman; Tahira Jamil; Damian Dropmann; Josine Verhagen; Alexander Ly; Quentin Gronau; Martin Šmíra; Sacha Epskamp; Dora Matzke; Anneliese Wild; Patrick Knight; Jeffrey Rouder; Richard Morey; Eric-Jan Wagenmakers: JASP: Graphical Statistical Software for Common Statistical Designs (2019) not zbMATH
  11. Maximilian Linde; Don van Ravenzwaaij: baymedr: An R Package for the Calculation of Bayes Factors for Equivalence, Non-Inferiority, and Superiority Designs (2019) arXiv
  12. Ligtvoet, Rudy: Exact one-sided Bayes factors for 2 by 2 contingency tables (2017)
  13. Quentin F. Gronau, Henrik Singmann, Eric-Jan Wagenmakers: bridgesampling: An R Package for Estimating Normalizing Constants (2017) arXiv
  14. Thiele, Jonathan E.; Haaf, Julia M.; Rouder, Jeffrey N.: Is there variation across individuals in processing? Bayesian analysis for systems factorial technology (2017)
  15. Aydogan, Ilke; Bleichrodt, Han; Gao, Yu: An experimental test of reduction invariance (2016)
  16. Krone, Tanja; Albers, C. J.; Timmerman, M. E.: Bayesian dynamic modelling to assess differential treatment effects on panic attack frequencies (2016)
  17. Moore, Alex M.; vanMarle, Kristy; Geary, David C.: Kindergartners’ fluent processing of symbolic numerical magnitude is predicted by their cardinal knowledge and implicit understanding of arithmetic 2 years earlier (2016) MathEduc
  18. Morey, Richard D.; Romeijn, Jan-Willem; Rouder, Jeffrey N.: The philosophy of Bayes factors and the quantification of statistical evidence (2016)
  19. Mulder, Joris (ed.); Wagenmakers, Eric-Jan (ed.): Editors’ introduction to the special issue “Bayes factors for testing hypotheses in psychological research: practical relevance and new developments” (2016)
  20. Morey, Richard D.; Wagenmakers, Eric-Jan: Simple relation between Bayesian order-restricted and point-null hypothesis tests (2014)