This is a collection of observations, blogs, definitions, ideas, and other miscellany. Written using Forester .
I am a statistician by training, and I am particularly interested in developing and applying causal inference methods in ecology and conservation. In these domains, causal inference methods are often complicated by the fact that a unit’s potential outcomes may depend on the exposure of other units. This is known as causal inference with interference.
I maintain several R packages, including geex , a package which (hopefully) makes programming estimating equations easier. I created geex from a pragmatic need to quickly iterate and debug variance estimation from a set of estimating equations. Without knowing its name at the time, the crucial abstraction I used in geex is a common technique called currying. The way I was able to align mathematical reasoning with computer programming led down the path of functional programming (and once I discovered Haskell