Package: bonsaiforest2 0.1.0

Customizing Prior Distributions for Global Shrinkage Models | Example 1.1: Global model with a regularized horseshoe prior | Example 1.2: Global model with a normal prior and a common heterogeneity parameter | Example 1.3: Global model with a normal prior and separate heterogeneity parameters per subgrouping variable | Example 1.4: Global model with an R2-D2 prior | Example 1.5: Coefficient-specific priors | Stratification for nuisance parameters | Example 2.1: Fully stratified continuous one-way shrinkage model | Example 2.2: Stratified one-way survival model | Handling Exposure in Count Outcomes with Offsets | Example 3.1: Count outcome with offset | Summary

Introduction | The Data | Choice of hyperprior parameters | One-way shrinkage models | One-way model for x1 | One-way model for x2 | One-way model for x3 | Forest plot of results from all one-way models | Global shrinkage model | Model fitting | Summary of subgroup effects | Global Model: Visualization | Comparing Multiple Models in One Plot | References

Introduction | Model Specification and Fitting Step | Notation | Statistical model | Parameter grouping | Priors distributions for shrunken predictive terms | Normal priors for one-way shrinkage models | Regularized horseshoe priors for global shrinkage models | Model fitting | Standardization Step (G-Computation) | Comparison of One-way vs Global Shrinkage Models | References