Bayesian Hierarchical Logistic Regression Model Fit Statistics from LOO-CV and WAIC

Model fit statistics from Leave-One-Out Cross-Validation (LOO-CV) and the Widely Applicable Information Criterion (WAIC) for a Bayesian hierarchical logistic regression model. The dataset is a 5.5 KB Excel file authored by Maurice Wanyonyi and last updated on April 21, 2026.

Use Cases

• Comparing model performance based on LOO-CV and WAIC statistics mentioned in the description
• Evaluating the predictive accuracy of a Bayesian hierarchical logistic regression model
• Assessing model fit and potential overfitting using information criteria

Strengths

• Dataset is openly licensed under CC-BY-4.0
• File size is 5.5 KB, indicating a compact and focused dataset

Limitations

• Row count is unknown, which may limit suitability assessment
• Column-level documentation is absent; field semantics must be inferred after download

Provenance

Source

figshare

Collection Method

Likely contains calculated model fit statistics from a Bayesian analysis.

Time Range

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Freshness

Last updated 2026-04-21 17:43:24; freshness should be verified

Geography

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