Package: baggr 0.8.2

What is baggr? | Recent features | Data inputs: reported effects or full individual-level data sets | ATE aggregation models in baggr | Rubin model | $\mu$-$\tau$ model | Individual-level models | Models, their inputs, hierarchy and priors: a summary table | Prior choice in baggr | Running the Rubin model in baggr | Examining treatment and study effects | Choosing priors | Understanding and criticising baggr model performance | Measuring "pooling" | Estimate of pooling in each group | Overall pooling (in the model) | Plotting and model comparison in baggr | Basic model comparison with baggr_compare | Comparing existing models, understanding impact of the prior | Forest plots for the models | Cross-validation in baggr | Publication bias assessment | References

Other questions you should consider | Basic meta-analysis of binary data | Choice of summary statistic | Visual inspection of binary data | Using differences instead of ratios | Using risk ratios instead of odds ratios | Model comparison using a measure of model fit | Visualising and criticising model results | Model comparison | Model for individual-level binary data | When to use summary and when to use individual-level data | How to summarise individual-level data | Rare events | Pooling baseline event rates | Accounting for covariates: meta-regression and mixed models | References

Data | Funnel plot | Selection adjustment | References