Bayesian Model Averaging for Random and Fixed Effects Meta-Analysis
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Updated
Jul 22, 2025 - R
Bayesian Model Averaging for Random and Fixed Effects Meta-Analysis
R package to automagically compute Jeffrey's Approximate Bayes factors
Evaluating informative hypotheses with equality and inequality constraints: A tutorial using the Bayes factor via the encompassing prior approach [Supplemental Material]
Calibrated output validation with the Bayes Factor: weigh per-dimension quality scores into a pass, fail, or escalate decision on the Jeffreys scale, not an arbitrary threshold. Zero-dependency, node-free TypeScript.
Extracting Bayesian Evidence from Frequentist p Values
Selecting fitted models under epistemic uncertainty [Source Code]
Bayes factor testing for β coefficients in the network autocorrelation model using Savage-Dickey ratio and BIC approximation methods. It proposes Bayes factors for two-sided and multiple hypotheses testing procedures
Calculate bayes factors for various hypotheses about extent of slowdown
Bayesian Informative Hypotheses Evaluation Web Applications
This project introduces some of the basic Bayesian VAR models and provides a demonstration based on psychological data
This repository contains a Python routine that computes Bayesian evidence and Bayes factors for model comparison in Cosmological analyses, based on the repository https://github.com/yabebalFantaye/MCEvidence
Bayesian Informative Hypotheses Evaluation Web Applications
Distinguish power-law and geometric (discrete exponential) distributions using RStan with bridge sampling
A web app to calculate Bayes Factors (BF) and Approximate Correct Model Probability (cmP) values.
Computationally efficient Bayesian variable selection method to identify linear and nonlinear effects in regression models where a predictor (or feature) can have a zero effect, a non-zero linear effect or non-zero non-linear effect on the outcome variables.
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