Notes on data science, philosophy, the environment, and other things I like.
Some quick intuition for Bayesian and frequentist models with some glm examples in R. Using some tricks makes fitting variant models in stand quite simple.
Bayesian and frequentist approaches to binomial dose responses in R - Part II. LC50s are ubiqutous in dose response modelling, but they are not always easy to estimate. A Bayesian approach can help here.
I have been flip flopping between next-mdx and next-mdx-remote as I build this blog and learn more about Next.js. The process of making a Table of Contents taught me a lot about strengths of both approaches to rendering mdx files with Next.js
Bayesian and frequentist approaches to binomial dose responses in R - Part I. Understanding how an endpoint, like mortality, varies with exposure or dosage is important in many situations. Here we look at two common approaches and their relative benefits.
Population growth - Part III. What happens one one growing population eats another?
Population growth - Part II. Population growth can't go on forever. Here we have a look at how contraints are commonly incorporated into simple population growth models.