55 Open source projects that are alternatives of or similar to Gpmicrobiome

Bayesian Data Analysis demos for Python

RStan, the R interface to Stan

Bayesian analysis + tidy data + geoms (R package)

The 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.

Bayesian Data Analysis demos for R

A Python package for Bayesian forecasting with object-oriented design and probabilistic models under the hood.

rstanarm R package for Bayesian applied regression modeling

bayesplot R package for plotting Bayesian models

Material for AMLD 2020 workshop "Bayesian Inference: embracing uncertainty"

library of C++ functions that support applications of Stan in Pharmacometrics

Bayesian SEIR model to estimate the effects of social-distancing on COVID-19

『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。

Collection of (unfinished) notebooks

CmdStanR: the R interface to CmdStan

Noisy network measurement with stan

A Vim plugin for the Stan probabilistic programming language.

Bayesian inference from binary causal models

NATS 2.x Client Library

R-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.

Uses Stan sampler and math library to semiparametrically fit linear and multilevel models with additive Bayesian Additive Regression Tree (BART) components.

Fit 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.

Reproducible Bayesian data analysis pipelines with targets and cmdstanr

Stanマニュアルの日本語への翻訳プロジェクト

This code uses the algebra solver in Stan (https://mc-stan.org/) to find the parameters of a distribution that produce a desired tail behavior.

Bayesian Hierarchical Hidden Markov Models applied to financial time series, a research replication project for Google Summer of Code 2017.

The Trendiness of Trends

Bayesian Generalized Linear Models with Time-Varying Coefficients

Bindings for Bayesian TidyModels

Bayesian nowcasting with adjustment for delayed and incomplete reporting to estimate COVID-19 infections in the United States

Bayesian spatial analysis

A 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.

Bayesian Model Averaging for Random and Fixed Effects Meta-Analysis

A Mathematica package to interact with CmdStan

Materials from Stan conferences

Stan development repository. The master branch contains the current release. The develop branch contains the latest stable development. See the Developer Process Wiki for details.

shinystan R package and ShinyStan GUI

NATS Streaming Operator

Stan.jl illustrates the usage of the 'single method' packages, e.g. StanSample, StanOptimize, etc.

Repo that contains the supporting material for O'Reilly Webinar "An Intro to Predictive Modeling for Customer Lifetime Value" on Feb 28, 2017

『StanとRでベイズ統計モデリング』のサポートページです.

Code 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.

Tutorial on model assessment, model selection and inference after model selection

Inference case studies in knitr

loo R package for approximate leave-one-out cross-validation (LOO-CV) and Pareto smoothed importance sampling (PSIS)

Graphical tools for analyzing Markov Chain Monte Carlo simulations from Bayesian inference

STUN & TURN client demo and api with python and C

Projection predictive variable selection

Matlab interface to Stan, a package for Bayesian inference

'Visualization in Bayesian workflow' by Gabry, Simpson, Vehtari, Betancourt, and Gelman. (JRSS discussion paper and code)

State space models (dynamic linear models, hidden Markov models) implemented in Stan.

Estimate Realtime Case Counts and Time-varying Epidemiological Parameters

CmdStan.jl v6 provides an alternative, older Julia wrapper to Stan's `cmdstan` executable.

Code for modelling estimated deaths and cases for COVID19.

PyStan, the Python interface to Stan

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