The {collapse} arXiv paper has just been updated - following extensive revision: https://arxiv.org/pdf/2403.05038. I believe it is a great resource for anyone doing scientific computing with #rstats
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There is now a #fastverse benchmark wiki (https://github.com/fastverse/fastverse/wiki/Benchmarks) where users can freely contribute benchmarks. If you have benchmarks involving {fastverse} packages ({collapse}, {data.table}, etc., including extensions) please contribute them (takes 1 min) #rstats #DataScience
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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: https://sebkrantz.github.io/collapse/articles/developing_with_collapse.html
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{collapse} is now also on BlueSky (https://bsky.app/profile/rcollapse.bsky.social) and I am also there (https://bsky.app/profile/sebkrantz.bsky.social). I will repost {collapse} posts on BlueSky but also share about research/data. This account will remain active as well for mostly software-related content. #rstats
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I released a new Julia library, OptimalTransportNetworks.jl (https://github.com/OptimalTransportNetworks): https://sebkrantz.github.io/Rblog/2024/09/22/introducing-optimaltransportnetworks-jl-optimal-transport-networks-in-spatial-equilibrium/
The software uses duality principles to optimize over the space of networks, nesting an optimal flows problem and a neoclassical general-equilibrium trade model into a global network design problem to derive the optimal (welfare maximizing) transport network (extension) from any primitive set of economic fundamentals.
-> A 'generative' spatial economic model for network planning
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