The source code for my R Packages can be found on GitHub.

**DAG analysis and visualization**: `ggdag`

, a package for working with directed acyclic graphs in `ggplot2`

and built on top of `dagitty`

. `ggdag`

focuses on working with selection bias, confounding, and selecting the right variables to adjust for in an analysis.

**Visualization for meta-analyses**: `tidymeta`

, including `ggplot2`

functionality for forest plots, funnel plots, and influence plots.

**Creating and visualizing sufficient-component cause models**: `causalpie`

, which creates, analyzes, and plots causal pies.

**Estimate Sample Size Based on Precision**: `precisely`

, a package to estimate sample size based on precision rather than power. Power calculations are focused on whether or not an estimate will be statistically significant; calculations of precision are based on the same prinicples as power calculation but turn the focus to the width of the confidence interval.

**Other Packages**: `mbmisc`

, a package that contains functionsI use often and `ggplot2`

themes. `koanr`

, package containing data on important Zen texts.