R bayesian-inference

Open-source R projects categorized as bayesian-inference | Edit details

R bayesian-inference Projects

  • GitHub repo brms

    brms R package for Bayesian generalized multivariate non-linear multilevel models using Stan

    Project mention: [R] Are there methods for ridge and lasso regression that allow the introduction of weights to give more importance to some observations? | reddit.com/r/MachineLearning | 2021-08-23

    I think the brms package (https://github.com/paul-buerkner/brms) or the blavaan package (http://ecmerkle.github.io/blavaan/) have support for SEM. I've never done it myself, so I unfortunately can't give you any direction for that in particular. However, I have used stan in multi-level meta-analysis regression (combining multiple CRISPRa experiments to find determinants of CRISPRa activity, see https://github.com/timydaley/CRISPRa-sgRNA-determinants/blob/master/metaAnalysis/NeuronAndSelfRenewalMetaMixtureRegression.Rmd) and had some success.

  • GitHub repo ParBayesianOptimization

    Parallelizable Bayesian Optimization in R

    Project mention: [D] Selecting Hyperparameters Using Bayesian Optimization | reddit.com/r/statistics | 2021-03-03

    Disclaimer: I am the maintainer of ParBayesianOptimization. That readme has a pretty good walkthrough of how Bayesian optimization works.

  • Scout APM

    Scout APM: A developer's best friend. Try free for 14-days. Scout APM uses tracing logic that ties bottlenecks to source code so you know the exact line of code causing performance issues and can get back to building a great product faster.

NOTE: The open source projects on this list are ordered by number of github stars. The number of mentions indicates repo mentiontions in the last 12 Months or since we started tracking (Dec 2020). The latest post mention was on 2021-08-23.

R bayesian-inference related posts

Index

Project Stars
1 brms 940
2 ParBayesianOptimization 71
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