In a previous post, we presented an rjags version of a Bayesian model from Chapter 2 of the textbook: Evidence Synthesis for Decision Making in Healthcare by Welton et al. (2012). In this post, we continue our project to present rjags versi...

I’ve been busy with the field exams, so I haven’t had much time to work on the blog. spuriouscorrelations package started as a fun project for one of my tutorials. Here is a case of an interesting correlation: the number of people who drowned by ...

Refreshed my rusty calculus skills lately! 🤓 Finally understand what happens during complete separation and why those coefficient SE get so extreme. The math behind maximum likelihood estimation makes more sense now! Chain rule, quotient rule, matrix ...

tl;dr Once the login package is installed, you can run two demos using the following commands: shiny::runApp(paste0(find.package('login'), '/user_params/')) https://github.com/jbryer/login/blob/main/inst/user_params/app.R shiny::runApp(paste0(fi...

There are a bunch of new features to share as part of the 0.6.0 release of maestro: maestroFlags tag and accompanying get_flags() function for tagging pipelines. maestroPriority tag for determining the order in which simultaneously schedul...

JavaScript is required to unlock solutions. Please enable JavaScript and reload the page, or download the source files from GitHub and run the code locally. Goal After this exercise, you should be able to define search spaces for learning algorithms and apply different hyperparameter (HP) optimization (HPO) techniques to search ...

This is the second part of a blog post series on spatial machine learning with R. You can find the list of other blog posts in this series in part one. Introduction This document shows the application of caret for spatial modelling at t...

If you want to watch a 2-Minute video introduction to {rixpress}, click the image below: In August last year I tried to see how one could use Nix as a built automation tool for data science pipelines, and in March this year, I’ve star...

Multi-task learning (MTL) is an approach where a single neural network model is trained to perform multiple related tasks simultaneously. This methodology can improve model generalization, reduce overfitting, and leverage shared information acros...

Zhenguo Zhang's Blog /2025/05/10/r-use-new-scale-xxx-function-to-add-the-same-scale-type-in-different-ggplot-layers/ - In one ggplot figure, normally you can only use one scale for each aesthetic mapping. For example, if you use scale_color_manual() ...