Miscellaneous R CodeCode that might be useful to others for learning/demonstration purposes, specifically along the lines of modeling and various algorithms. Now almost entirely superseded by the models-by-example repo.
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ModelselectionTutorial on model assessment, model selection and inference after model selection
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Looloo R package for approximate leave-one-out cross-validation (LOO-CV) and Pareto smoothed importance sampling (PSIS)
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GgmcmcGraphical tools for analyzing Markov Chain Monte Carlo simulations from Bayesian inference
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Turn ClientSTUN & TURN client demo and api with python and C
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ProjpredProjection predictive variable selection
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MatlabstanMatlab interface to Stan, a package for Bayesian inference
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Bayes Vis Paper'Visualization in Bayesian workflow' by Gabry, Simpson, Vehtari, Betancourt, and Gelman. (JRSS discussion paper and code)
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Ssmodels In StanState space models (dynamic linear models, hidden Markov models) implemented in Stan.
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Epinow2Estimate Realtime Case Counts and Time-varying Epidemiological Parameters
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Cmdstan.jlCmdStan.jl v6 provides an alternative, older Julia wrapper to Stan's `cmdstan` executable.
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Covid19modelCode for modelling estimated deaths and cases for COVID19.
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Pystan2PyStan, the Python interface to Stan
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Brmsbrms R package for Bayesian generalized multivariate non-linear multilevel models using Stan
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GpmicrobiomeA novel probabilistic approach to explicitly model overdispersion and sampling zeros in 16S rRNA sequencing data by considering the temporal correlation between nearby time points using Gaussian Processes
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Bda py demosBayesian Data Analysis demos for Python
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RstanRStan, the R interface to Stan
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TidybayesBayesian analysis + tidy data + geoms (R package)
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MathThe Stan Math Library is a C++ template library for automatic differentiation of any order using forward, reverse, and mixed modes. It includes a range of built-in functions for probabilistic modeling, linear algebra, and equation solving.
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Bda r demosBayesian Data Analysis demos for R
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OrbitA Python package for Bayesian forecasting with object-oriented design and probabilistic models under the hood.
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Rstanarmrstanarm R package for Bayesian applied regression modeling
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Bayesplotbayesplot R package for plotting Bayesian models
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EmbracingUncertaintyMaterial for AMLD 2020 workshop "Bayesian Inference: embracing uncertainty"
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Torstenlibrary of C++ functions that support applications of Stan in Pharmacometrics
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covidseirBayesian SEIR model to estimate the effects of social-distancing on COVID-19
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tsbook『基礎からわかる時系列分析』(技術評論社,2018年)のサポートサイトです。
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notebooksCollection of (unfinished) notebooks
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cmdstanrCmdStanR: the R interface to CmdStan
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stan-vimA Vim plugin for the Stan probabilistic programming language.
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CausalQueriesBayesian inference from binary causal models
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natsclientNATS 2.x Client Library
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lgprR-package for interpretable nonparametric modeling of longitudinal data using additive Gaussian processes. Contains functionality for inferring covariate effects and assessing covariate relevances. Various models can be specified using a convenient formula syntax.
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stan4bartUses Stan sampler and math library to semiparametrically fit linear and multilevel models with additive Bayesian Additive Regression Tree (BART) components.
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ubmsFit models to data from unmarked animals using Stan. Uses a similar interface to the R package 'unmarked', while providing the advantages of Bayesian inference and allowing estimation of random effects.
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stantargetsReproducible Bayesian data analysis pipelines with targets and cmdstanr
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stan-jaStanマニュアルの日本語への翻訳プロジェクト
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stanTuneRThis code uses the algebra solver in Stan (https://mc-stan.org/) to find the parameters of a distribution that produce a desired tail behavior.
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gsoc17-hhmmBayesian Hierarchical Hidden Markov Models applied to financial time series, a research replication project for Google Summer of Code 2017.
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walkerBayesian Generalized Linear Models with Time-Varying Coefficients
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bayesianBindings for Bayesian TidyModels
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covidestimBayesian nowcasting with adjustment for delayed and incomplete reporting to estimate COVID-19 infections in the United States
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geostanBayesian spatial analysis
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stan-distributionsA web app to visualize distributions in Stan. Uses Stan Math C++ compiled to Webassembly to evaluate the functions using actual Stan implementations. Uses d3.js for visualizations.
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metaBMABayesian Model Averaging for Random and Fixed Effects Meta-Analysis
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MathematicaStanA Mathematica package to interact with CmdStan
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Stancon talksMaterials from Stan conferences
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StanStan development repository. The master branch contains the current release. The develop branch contains the latest stable development. See the Developer Process Wiki for details.
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Shinystanshinystan R package and ShinyStan GUI
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Stan.jlStan.jl illustrates the usage of the 'single method' packages, e.g. StanSample, StanOptimize, etc.
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Oreilly Intro To Predictive ClvRepo that contains the supporting material for O'Reilly Webinar "An Intro to Predictive Modeling for Customer Lifetime Value" on Feb 28, 2017
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