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R bayesian-inference Projects
brms R package for Bayesian generalized multivariate non-linear multilevel models using StanProject mention: [Q] Correlated multivariate Beta model | reddit.com/r/statistics | 2022-06-09
Maybe something like the Logistic Normal ? (e.g. see this issue from brms). If that fits what you are looking for, you can use brms to generate the Stan code for you (brms::make_stan_code()) and work from that.
Parallelizable Bayesian Optimization in R
TestGPT | Generating meaningful tests for busy devs. Get non-trivial tests (and trivial, too!) suggested right inside your IDE, so you can code smart, create more value, and stay confident when you push.
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 2022-06-09.
R bayesian-inference related posts
[Q] Correlated multivariate Beta model
1 project | reddit.com/r/statistics | 9 Jun 2022
[R] Are there methods for ridge and lasso regression that allow the introduction of weights to give more importance to some observations?
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Package for :Generalized Mixed Effects Models for Zero-Inflated Negative Binomial distributions ?
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I have a small sample size time series with potentially lagged predictor values which are also time series. What could be potential methods to analyse these data?
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[D] Machine Learning and "Record Linkage"
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[D] Selecting Hyperparameters Using Bayesian Optimization
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A note from our sponsor - SonarLint
www.sonarlint.org | 31 May 2023
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