Sebastian Krantz
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sebkrantz.bsky.social
Sebastian Krantz
@sebkrantz.bsky.social
PhD graduate in Quantitative Economics working on Africa/Infrastructure and creator of {collapse} (@rcollapse.bsky.social). Website: https://sebastiankrantz.com/
I've started a new personal blog focused on research, career reflections, and travel experiences. The first post documents my recent 6-week trip through Southern Africa, from Zanzibar to Cape Town by Public Transport. FYI, enjoy!

sebkrantz.github.io/blog/posts/f...
From Zanzibar to Cape Town by Public Transport | Blog of Sebastian Krantz
Chronicles of a 6 week solo adventure through Southern Africa
sebkrantz.github.io
October 3, 2025 at 9:09 PM
Version 0.3.0 of the {dfms} package for dynamic factor modelling in R just made it to CRAN, adding support for monthly + quarterly mixed frequency estimation. This allows for easy business cycle indicator estimation. More at sebkrantz.github.io/dfms/article... and sebkrantz.github.io/dfms/. #rstats
Introduction to dfms
sebkrantz.github.io
May 18, 2025 at 7:10 PM
Reposted by Sebastian Krantz
{collapse} 2.1.0 is out! It introduces a new fslice() function (sebkrantz.github.io/collapse/ref...), a new theory-consistent weighted quantile algorithm (sebkrantz.github.io/collapse/ref...) with excellent properties. And some convenience features such as join requirements: #rstats #DataScience
March 10, 2025 at 9:53 PM
Feel free to join the ECA webinar if you want to see some crazy continent-scale spatial economic modelling.
📅 Feb 10 | 14:00-15:30 EAT
Join industry experts as we explore the costs, benefits, and solutions for Africa’s infrastructure development. 🌐💡
🔗 Register now: bit.ly/3PWKynU
February 7, 2025 at 4:50 PM
The {collapse} (@rcollapse.bsky.social) arXiv paper has just been updated - following extensive revision: arxiv.org/abs/2403.05038. I believe it is a great resource for anyone doing scientific computing with #rstats.
collapse: Advanced and Fast Statistical Computing and Data Transformation in R
collapse is a large C/C++-based infrastructure package facilitating complex statistical computing, data transformation, and exploration tasks in R - at outstanding levels of performance and memory eff...
arxiv.org
February 6, 2025 at 1:34 PM
Reposted by Sebastian Krantz
It's nice to see an increasing number of #rstats packages use {collapse}. A developer focused vignette was long planned and now it is here - with modest advice on writing efficient R package code in general and using {collapse} in particular: sebkrantz.github.io/collapse/art...
Developing with collapse
sebkrantz.github.io
December 27, 2024 at 5:10 PM