Using cryptography to demonstrate the power of MCMC techniques in computational statistics
An in-depth dive into the workings of logistic regression.
Informal notes about common linear algebra / matrix operations in R
The tmerge() function in the survival package is used to structure data to represent time-dependent variables in a survival analysis. This post shows a minimal example of how to use tmerge.
A short simulation example showing why dichomization of continuous variables can lead to wrong conclusions.
bs4
A short guide to creating a bookdown book using the bs4 theme
Exploring gradient descent using R and a minimal amount of mathematics
Functions from the tidyverse provide a powerful way to do statistical simulations. We demonstrate this approach by evaluating the properties of the mean and median as estimators of center for two distributions.”
tidyverse
gganimate
The gganimate package can be used with ggmap to create animations of geographic data. I show examples using data from Nashville Open Data.
ggmap
Type I error is increased when you test your hypothesis multiple times during the data collection process. Simulations can provide a clear picture of this process.
Exploring the idea of a statistic by simulating dice rolls in R