Automating deployment of an inexpensive Linux R/Stan development environment in the Azure public cloud.
This blog post demonstrates that the presence of irrelevant variables can reduce the performance of the Random Forest algorithm (as implemented in R by `ranger()`). The solution is either to tune one of the algorithm's parameters, OR to remove irrelevant features using a procedure called Recursive Feature Elimination (RFE).
This blog post is about the Roche Rapid Antigen Test Nasal. How accurate is it? I tracked down the data mentioned in the kit's leaflet, discuss the whole measurement process and used R to reproduce the sensitivity and specificity of the test.
Here we show how to use Stan and the brms R-package to calculate the posterior predictive distribution of a covariate-adjusted average treatment effect (ATE).