Overview | Prior Elicitation | Beta Prior (Binary Endpoints) | Quantile Matching | Moment Matching | Normal Prior (Continuous Endpoints) | Gamma Prior (Rate / Count Endpoints) | Log-Normal Prior (Hazard Ratios) | Roulette Method | Expert Pooling | Linear Pooling | Manual Mixture Construction | Prior-Data Conflict Diagnostics | Sensitivity Analysis | Tornado Plot | Influence Heatmap | Credible Interval Sensitivity | Robust and Sceptical Priors | Robust Mixture Prior | Sceptical Prior | Power Prior Calibration | Multivariate Conflict Diagnostics | Generating a Prior Justification Report | Complete Worked Example | Function Reference | References

Overview | Distribution Families | Elicitation Methods | Beta Prior (Binary Endpoints) | Quantile Matching | Moment Matching | Normal Prior (Continuous Endpoints) | Gamma Prior (Rate and Count Endpoints) | Log-Normal Prior (Hazard Ratios) | Exponential Prior (Constant Hazard Rates) | Method: moments | Method: rate | Method: quantile | Conjugate update | Weibull Prior (Non-Constant Hazard Survival Times) | Method: params | Posterior approximation note | Roulette Method | Expert Pooling | Linear Pooling | Pooling Compatibility | Prior Object Structure | References

Why Conflict Diagnostics Matter | Supported Data Types | Univariate Conflict: prior_conflict() | Binary Data | The Four Diagnostics Explained | 1. Box's Prior Predictive P-value | 2. Surprise Index | 3. KL Divergence | 4. Bhattacharyya Overlap Coefficient | Threshold Summary | Prior-Likelihood-Posterior Overlay | Continuous Endpoint Conflict | Poisson / Count Data Conflict | Survival / Time-to-Event Data Conflict | Compatibility Validation | Mixture Prior Conflict | Multivariate Conflict: conflict_mahalanobis() | Conflict Severity Classification | References

Regulatory Context | The Prior Justification Report | What It Contains | Output Formats | Generating a Report | The Notes Field | The FDA/EMA Compliance Checklist | Session Reproducibility | Working with the Shiny App | Pre-Submission Checklist | References

Overview | Robust Mixture Prior | Concept | Usage | Varying the Vague Weight | Vague SD Multiplier | Sceptical Prior | Normal Family (Mean Differences, Log Odds Ratios) | Beta Family (Response Rates) | Log-Normal Family (Hazard Ratios) | Enthusiastic vs Sceptical Pair | Power Prior | Calibrating $\delta$ | Compatibility Method | Power Prior for Other Families | Choosing the Right Alternative Prior | Including Robust Priors in the Regulatory Report | References

Why Sensitivity Analysis Is Required | Supported Data Types | Binary Data | Credible Interval Sensitivity | Poisson / Count Data | Survival / Time-to-Event Data | Continuous Endpoints | Interpreting Influence Scores | Mixture Prior Sensitivity | Regulatory Reporting | References

Overview | Robust Mixture Prior | Concept | Usage | Varying the Vague Weight | Vague SD Multiplier | Sceptical Prior | Normal Family (Mean Differences, Log Odds Ratios) | Beta Family (Response Rates) | Log-Normal Family (Hazard Ratios) | Enthusiastic vs Sceptical Pair | Power Prior | Calibrating $\delta$ | Compatibility Method | Power Prior for Other Families | Choosing the Right Alternative Prior | Including Robust Priors in the Regulatory Report | References

Overview | Prior Elicitation | Beta Prior (Binary Endpoints) | Quantile Matching | Moment Matching | Normal Prior (Continuous Endpoints) | Gamma Prior (Rate / Count Endpoints) | Log-Normal Prior (Hazard Ratios) | Roulette Method | Expert Pooling | Linear Pooling | Manual Mixture Construction | Prior-Data Conflict Diagnostics | Sensitivity Analysis | Tornado Plot | Influence Heatmap | Credible Interval Sensitivity | Robust and Sceptical Priors | Robust Mixture Prior | Sceptical Prior | Power Prior Calibration | Multivariate Conflict Diagnostics | Generating a Prior Justification Report | Complete Worked Example | Function Reference | References

Overview | Distribution Families | Elicitation Methods | Beta Prior (Binary Endpoints) | Quantile Matching | Moment Matching | Normal Prior (Continuous Endpoints) | Gamma Prior (Rate and Count Endpoints) | Log-Normal Prior (Hazard Ratios) | Exponential Prior (Constant Hazard Rates) | Method: moments | Method: rate | Method: quantile | Conjugate update | Weibull Prior (Non-Constant Hazard Survival Times) | Method: params | Posterior approximation note | Roulette Method | Expert Pooling | Linear Pooling | Pooling Compatibility | Prior Object Structure | References

Why Conflict Diagnostics Matter | Supported Data Types | Univariate Conflict: prior_conflict() | Binary Data | The Four Diagnostics Explained | 1. Box's Prior Predictive P-value | 2. Surprise Index | 3. KL Divergence | 4. Bhattacharyya Overlap Coefficient | Threshold Summary | Prior-Likelihood-Posterior Overlay | Continuous Endpoint Conflict | Poisson / Count Data Conflict | Survival / Time-to-Event Data Conflict | Compatibility Validation | Mixture Prior Conflict | Multivariate Conflict: conflict_mahalanobis() | Conflict Severity Classification | References

Why Sensitivity Analysis Is Required | Supported Data Types | Binary Data | Credible Interval Sensitivity | Poisson / Count Data | Survival / Time-to-Event Data | Continuous Endpoints | Interpreting Influence Scores | Mixture Prior Sensitivity | Regulatory Reporting | References

Regulatory Context | The Prior Justification Report | What It Contains | Output Formats | Generating a Report | The Notes Field | The FDA/EMA Compliance Checklist | Session Reproducibility | Working with the Shiny App | Pre-Submission Checklist | References