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Bayesian DEB Modelling of Eisenia fetida Growth and DEBtox Analysis2 months ago
Introduction | Prerequisites | Part 1: Eisenia fetida Growth | Data description | Individual model: single organism | Step 1: Prepare data | Step 2: Specify model and priors | Step 3: Fit via MCMC | Step 4: Convergence diagnostics | Step 5: Posterior summary | Step 6: Posterior predictive check | Step 7: Derived quantities | Step 8: Scenario analysis — reduced food | Hierarchical model: 21 individuals | Model structure | Prepare and specify | Fit | Diagnostics | Population-level results | Shrinkage of individual estimates | Prediction for a new individual | Individual vs hierarchical: comparison | Part 2: DEBtox Analysis | Background | Data exploration | Data preparation | Model specification | Parameter estimates | EC~50~ and NEC | Dose-response curve | Prior sensitivity analysis | Part 3: Practical Tools | Structural vs physical length | Prior predictive check | Observation model selection | Temperature correction | Energy flux calculator | Converting cumulative reproduction data | Validation Against Published DEB Parameters | Summary | References | Session info
Getting Started with BayesianDEB2 months ago
Overview | Installation | Example: Individual Growth Model | 1. Prepare Data | 2. Specify Model | 3. Fit Model | 4. Diagnostics | 5. Posterior Predictive Checks | 6. Derived Quantities | 7. Trajectory Plot | Example: Hierarchical Model (Multiple Individuals) | Example: DEBtox Model | Prior Specification | Observation Models | Further Reading