Showing 2 open source projects for "processing"

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    easystats

    easystats

    The R easystats-project

    easystats is a meta‑package that installs and unifies a suite of R packages for post‑processing statistical models. It delivers a consistent API to assess model performance, effect sizes, parameters, and to generate reports and visualizations, all with minimal dependencies and maximum clarity.
    Downloads: 0 This Week
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    future

    future

    R package: future: Unified Parallel and Distributed Processing in R

    The future package in R provides a unified abstraction for asynchronous and/or parallel computation. It allows R expressions to be scheduled for future evaluation, with the result retrieved later, in a way decoupled from the specific backend used. This lets code be written in a way that works with sequential execution, multicore, multisession, cluster, or remote compute backends, without changing the high-level code. It handles automatic exporting of needed global variables/functions,...
    Downloads: 0 This Week
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