ggdag
ggdag links the dagitty package, which contains powerful algorithms for analyzing causal DAGs, with the unlimited flexibility of ggplot2. ggdag coverts dagitty objects to a tidy DAG data structure, which allows you to both analyze your DAG and plot it easily in ggplot2.
Malcolm Barrett
Clinical Research Data Scientist
I am a data scientist, an R developer, and an epidemiologist. My work in public health has spanned on-ground clinical education and research for clinical and cohort studies. Previously, I was an intern at RStudio, and I served two years in AmeriCorps at federally-qualified health centers in Michigan and New York City. Sponsor me on GitHub
Posts
Tidy causal DAGs with ggdag 0.2.0
I’m pleased to announce that ggdag 0.2.0 is now on CRAN! ggdag links the dagitty package, which contains powerful algorithms for …
ggdag 0.1.0
I’m pleased to announce the release of ggdag 0.1.0 on CRAN! ggdag uses the powerful dagitty package to create and analyze structural …
Talks
An introduction to precisely and ggdag: tools for modern methods in R
Modern epidemiology gives us insight into study planning and causal inference, but the success of these approaches require friendly and …
