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sebffischer.bsky.social @sebffischer.bsky.social · 30/09/2026

Yesterday, we released a new version of anvl: github.com/r-xla/anvl. You can use it to implement numerical algorithms in R and run it on CPU and GPU. The R Code is compiled, so you do not have interpreter overhead, and it also allows you to automatically compute gradients #rstats

github.com

GitHub - r-xla/anvl: Accelerated array computing and code transformations for R

Accelerated array computing and code transformations for R - r-xla/anvl

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Reposted by @sebffischer.bsky.social

Hugh @hughagraham.bsky.social · 08/08/2026

Working on a new raster engine for #rstats, {garry}, powered by {gdalraster}, {anvl} and {mirai}. Still messy as hell but already the performance is pretty exciting. Only for the brave right now but ideas and opinions are still welcome! github.com/belian-earth... #rspatial #remotesensing

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sebffischer.bsky.social @sebffischer.bsky.social · 15/01/2025

A new package of the mlr3 family #mlr3inferr made it to CRAN. It allows to construct confidence intervals for the generalization error. You can check it out here: github.com/mlr-org/mlr3... #rstats.

github.com

GitHub - mlr-org/mlr3inferr: Statistical methods for inference on the generalization error

Statistical methods for inference on the generalization error - mlr-org/mlr3inferr

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