Meta-Uncertainty represents a fully probabilistic framework for quantifying the uncertainty over Bayesian posterior model probabilities (PMPs) using meta-models. Meta-models integrate simulated and observed data into a predictive distribution for new PMPs and help reduce overconfidence and estimate the PMPs in future replication studies.
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activate.R
May 25, 2023 - Replication Code for: Meta-Uncertainty in Bayesian Model Comparison
R Syntax - 26.5 KB - MD5: 406e38f92fbf258e7b0dff76e476c307
apply_color_map.Rd
May 25, 2023 - Replication Code for: Meta-Uncertainty in Bayesian Model Comparison
Unknown - 508 B - MD5: efd4078885864b7ee481d7a750a7fc92
bayesian_linear_regression.R
May 25, 2023 - Replication Code for: Meta-Uncertainty in Bayesian Model Comparison
R Syntax - 2.0 KB - MD5: f118a5dd0ac9405176e3e031b22cfdba
BetaBinomial.ipynb
May 25, 2023 - Replication Code for: Meta-Uncertainty in Bayesian Model Comparison
Jupyter Notebook - 268.9 KB - MD5: 51ef505d165efcfb6df367a909152beb
beta_binomial_pmps.tab
May 25, 2023 - Replication Code for: Meta-Uncertainty in Bayesian Model Comparison
Tabular Data - 63.7 KB - 5 Variables, 1000 Observations - UNF:6:0S3zNKpiYSHYquMApi4R5A==
blank.txt
May 25, 2023 - Replication Code for: Meta-Uncertainty in Bayesian Model Comparison
Plain Text - 0 B - MD5: d41d8cd98f00b204e9800998ecf8427e
blank.txt
May 25, 2023 - Replication Code for: Meta-Uncertainty in Bayesian Model Comparison
Plain Text - 0 B - MD5: d41d8cd98f00b204e9800998ecf8427e
brms_helper.R
May 25, 2023 - Replication Code for: Meta-Uncertainty in Bayesian Model Comparison
R Syntax - 649 B - MD5: 2efe46400894a3de05a31aa004a4484a
calculate_ml_bayesian_linear_regression.Rd
May 25, 2023 - Replication Code for: Meta-Uncertainty in Bayesian Model Comparison
Unknown - 641 B - MD5: d0c514a2c60d75dd1c007e57b50a8f73
checkpoint
May 25, 2023 - Replication Code for: Meta-Uncertainty in Bayesian Model Comparison
Plain Text - 167 B - MD5: 79c038774722cb03ed6480b7787d0822
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