R-bloggers

This post is a collection of more technical notes forming a companion piece to the previous post on men’s time spent on domestic chores and total fertility rates at the country level. The target audience for today’s post is future-me, and anyone else ...

Because of delays with my scholarship payment, if this post is useful to you I kindly ask a minimal donation on Buy Me a Coffee. It shall be used to continue my Open Source efforts. The full explanation is here: A Personal Message from an Open So...

Because of delays with my scholarship payment, if this post is useful to you I kindly ask a minimal donation on Buy Me a Coffee. It shall be used to continue my Open Source efforts. The full explanation is here: A Personal Message from an Open So...

How is it that in the year 2025 of our Lord installing a Python package is still such a gamble? This post comes from someone that rarely uses Python, but consider the following: the rare times I need to use it, I’m often confronted to dep...

The goal of the 'hansen' R package is to provide the datasets used in the exercises of the book

Edgeworth box with contract curve for the 2x2 exchange model using Cobb-Douglas utility functions.

Last fall, my co-authors Stephanie Zimmer, Rebecca Powell, and I released Exploring Complex Survey Data Analysis Using R. Earlier this August, we had the joy of teaching a workshop based on the book at useR! 2025. One of our favorite examples in...

Another interesting decision, now for 'Beyond Nelson-Siegel and splines: A model-agnostic Machine Learning framework for discount curve calibration, interpolation and extrapolation'

Getting back Into It It’s been a while for this website; a lot of my work has been used on projects that can’t be easily shared here. That said, I have been at the Edinburgh Fringe this month supporting my wife, and I wanted to use a Tidy ...

Cloud providers are no longer just offering traditional x86-based servers, ARM-based servers are now becoming a serious alternative. And for good reason: they’re often far more cost-effective and power-efficient than their x86 counterparts. For ...

1 Introduction Data preprocessing is a cornerstone of any data analysis or machine learning pipeline. Raw data rarely comes in a form ready for direct analysis — it often requires cleaning, transformation, normalization, and careful handl...