69 Open source projects that are alternatives of or similar to CausalQueries

Bayesian Model Averaging for Random and Fixed Effects Meta-Analysis

Short introduction to Bayesian statistical modelling with PyMC3

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

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

『StanとRでベイズ統計モデリング』のサポートページです.

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

Matlab interface to Stan, a package for Bayesian inference

Intention Mining in Social Networking. It Mines Emotions and polarity for the given keyword . For the keyword it searchers the twitter for the comments and analyzes the results for various events such as Election results, Sports prediction Movie ratings, Breaking news events such as demonetisation and many more. Bayes , Maximum Entropy and Hidde…

📈📄👀A lookup repo for a variety of discrete and continuous distributions (incl. Beta, Binomial, Cauchy, Chi-squared, Geometric, Hypergeometric, Normal & Poisson)

A 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

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.

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

Bayesian Generalized Linear Models with Time-Varying Coefficients

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

Python code snippets from Discrete Mathematics for Computer Science specialization at Coursera

STUN & TURN client demo and api with python and C

Demonstration of using Naive Bayes to predict user inputs with Kotlin 1.2 std-lib

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

Awesome Neural Logic and Causality: MLN, NLRL, NLM, etc. 因果推断，神经逻辑，强人工智能逻辑推理前沿领域。

PyStan, the Python interface to Stan

Naive Bayes Classifier in Swift for Mac and iOS

RStan, the R interface to Stan

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

Materials from Stan conferences

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

bayesplot R package for plotting Bayesian models

NATS Streaming Operator

This is all my random garbage.

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

Stanマニュアルの日本語への翻訳プロジェクト

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.

Bindings for Bayesian TidyModels

Inference case studies in knitr

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

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

Bayesian spatial analysis

Projection predictive variable selection

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.

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

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.

Estimate Realtime Case Counts and Time-varying Epidemiological Parameters

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.

Code for modelling estimated deaths and cases for COVID19.

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

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

Super simple text classifier using Naive Bayes. Plug-and-play, no dependencies

Bayesian Data Analysis demos for Python

A Mathematica package to interact with CmdStan

Bayesian analysis + tidy data + geoms (R package)

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.

Bayesian Data Analysis demos for R

naive bayes in php

rstanarm R package for Bayesian applied regression modeling

Using Computer with your Statistics Major Course

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.

NATS 2.x Client Library

Causal Discovery for Python. Translation and extension of the Tetrad Java code.

Reproducible Bayesian data analysis pipelines with targets and cmdstanr

The Trendiness of Trends

shinystan R package and ShinyStan GUI