bayestestR: Understand and Describe Bayesian Models and Posterior Distributions

Canonical link: https://rscholar.com/pkg/bayestestR

Dominique Makowski • Daniel Lüdecke • Mattan S. Ben-Shachar • Indrajeet Patil • Michael D. Wilson • Brenton M. Wiernik • Paul-Christian Bürkner • Tristan Mahr • Henrik Singmann • Quentin F. Gronau • Sam Crawley • View description and downloads View dependencies GitHub project

2019 Published

0.15.0 Version

0 Citations

11 Authors

Referenced by ⇅	Year
eiCompare: Compares Different Ecological Inference Methods (Version 3.0.4)	2016
brmsmargins: Bayesian Marginal Effects for 'brms' Models (Version 0.2.0)	2021
nichetools: Complementary Package to 'nicheROVER' and 'SIBER' (Version 0.3.2)	2024
SSVS: Functions for Stochastic Search Variable Selection (SSVS) (Version 2.0.0)	2022
bayesMeanScale: Bayesian Post-Estimation on the Mean Scale (Version 0.1.4)	2024
clinicalsignificance: A Toolbox for Clinical Significance Analyses in Intervention Studies (Version 2.1.0)	2022
correlation: Methods for Correlation Analysis (Version 0.8.6)	2020
datawizard: Easy Data Wrangling and Statistical Transformations (Version 0.13.0)	2021
eDNAjoint: Joint Modeling of Traditional and Environmental DNA Survey Data in a Bayesian Framework (Version 0.2)	2024
easystats: Framework for Easy Statistical Modeling, Visualization, and Reporting (Version 0.7.3)	2022
effectsize: Indices of Effect Size (Version 1.0.0)	2019
emmeans: Estimated Marginal Means, aka Least-Squares Means (Version 1.10.6)	2017
fbst: The Full Bayesian Evidence Test, Full Bayesian Significance Test and the e-Value (Version 2.2)	2020
ggeffects: Create Tidy Data Frames of Marginal Effects for 'ggplot' from Model Outputs (Version 2.0.0)	2017
insight: Easy Access to Model Information for Various Model Objects (Version 1.0.0)	2019
modelbased: Estimation of Model-Based Predictions, Contrasts and Means (Version 0.8.9)	2020
multifear: Multiverse Analyses for Conditioning Data (Version 0.1.3)	2021
multilevelcoda: Estimate Bayesian Multilevel Models for Compositional Data (Version 1.3.1)	2023
neatStats: Neat and Painless Statistical Reporting (Version 1.13.3)	2020
ordbetareg: Ordered Beta Regression Models with 'brms' (Version 0.7.2)	2022
parameters: Processing of Model Parameters (Version 0.24.0)	2019
pcvr: Plant Phenotyping and Bayesian Statistics (Version 1.1.1.0)	2024
performance: Assessment of Regression Models Performance (Version 0.12.4)	2019
psycho: Efficient and Publishing-Oriented Workflow for Psychological Science (Version 0.6.1)	2017
report: Automated Reporting of Results and Statistical Models (Version 0.5.9)	2021
rstanbdp: Bayesian Deming Regression for Method Comparison (Version 0.0.3)	2024
see: Model Visualisation Toolbox for 'easystats' and 'ggplot2' (Version 0.9.0)	2019
sjPlot: Data Visualization for Statistics in Social Science (Version 2.8.17)	2013
snSMART: Small N Sequential Multiple Assignment Randomized Trial Methods (Version 0.2.4)	2022
statsExpressions: Tidy Dataframes and Expressions with Statistical Details (Version 1.6.2)	2019

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