Introduction | Example | Simulated data | MCMC convergence diagnostics | Pareto-$\hat{k}$ | Pareto smoothing | Minimum sample size required | Convergence rate | Pareto-$\hat{k}$-threshold | Pareto diagnostics | Discussion | Reference

Introduction | Installation | Example | Draws formats | Available formats | Converting between formats | Converting regular R objects to draws formats | Example: create draws_matrix from a matrix | Example: create draws_matrix from multiple vectors | Manipulating draws objects | Subsetting | Mutating (transformations of variables) | Renaming | Binding | Summaries and diagnostics | summarise_draws() basic usage | Changing column names | Using custom functions | Specifying functions using lambda-like syntax | Other diagnostics | Other methods for working with draws objects | References

Introduction | References

Introduction | The rvars datatype | rvar_factor and rvar_ordered subtypes | The draws_rvars datatype | Math with rvars | Expectations and summary functions | Constants | Using existing R functions and expressions with rvars | Converting functions with rfun() | Evaluating expressions with rdo() | Evaluating random number generators with rvar_rng() | Broadcasting | Slicing and conditionals | Subsetting rvars by draw: x[] | Conditionals using rvar_ifelse() | Selecting different elements in each draw: x[[]] | Applying functions over rvars | Looping over draws and rvars | Using rvars in data frames and in ggplot2