Survival analysis in health economic evaluation Contains a suite of functions to systematise the workflow involving survival analysis in health economic evaluation. survHE can fit a large range of survival models using both a frequentist approach (by calling the R package flexsurv) and a Bayesian perspective.

AB test calculator run through Streamlit

Likelihood-Based Inference for Time Series Extremes

Code for ECE475: Frequentist Machine Learning at the Cooper Union, summer 2020

A/B testing for KKBOX churn rate

Regression