122 Open source projects that are alternatives of or similar to Cmdstan.jl

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

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

Bayesian Data Analysis demos for Python

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

bayesplot R package for plotting Bayesian models

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

RStan, the R interface to Stan

Bayesian Data Analysis demos for R

CmdStanR: the R interface to CmdStan

shinystan R package and ShinyStan GUI

Bayesian Generalized Linear Models with Time-Varying Coefficients

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.

Collection of (unfinished) notebooks

Noisy network measurement with stan

A Vim plugin for the Stan probabilistic programming language.

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

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

Bayesian inference from binary causal models

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.

rstanarm R package for Bayesian applied regression modeling

A C++ library of Markov Chain Monte Carlo (MCMC) methods

Material for a workshop on Bayesian stats with R

Make a sweet giant triangle confusogram (GTC) plot

Boltzmann Machines in TensorFlow with examples

Documentation, models and code relating to the 3rd edition of the textbook Stochastic Modelling for Systems Biology

Pieces of code that have appeared on my blog with a focus on stochastic simulations.

A multi-planet Radial Velocity and Transit modelling software

Doing Bayesian Data Analysis, 2nd Edition (Kruschke, 2015): Python/PyMC3 code

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.

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

Sequential Monte Carlo algorithm for approximation of posterior distributions.

Implementing MCMC sampling from scratch in R for various Bayesian models

Stanマニュアルの日本語への翻訳プロジェクト

Start with the Chempy tutorial

Bayesian methods in deep learning Summer School

NATS 2.x Client Library

High-performance Bayesian Data Analysis on the GPU in Clojure

PhyML -- Phylogenetic estimation using (Maximum) Likelihood

Application of the L2HMC algorithm to simulations in lattice QCD.

Examples for Bayesian inference using DynamicHMC.jl and related packages.

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

Code for modelling estimated deaths and cases for COVID19.

BAS R package https://merliseclyde.github.io/BAS/

Automatic Reparameterisation of Probabilistic Programs

Reproducible Bayesian data analysis pipelines with targets and cmdstanr

Probabilistic Programming in Python: Bayesian Modeling and Probabilistic Machine Learning with Aesara

Python MCMC Sampler

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

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.

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

CorBinian: A toolbox for modelling and simulating high-dimensional binary and count-data with correlations

Owl - OCaml Scientific and Engineering Computing @ http://ocaml.xyz

A common framework for implementing and using log densities for inference.

The Trendiness of Trends

Multi-core BUGS for fast Bayesian inference of large hierarchical models

Bitmap generation from a single example with convolutions and MCMC

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

Regression with Summary Statistics.

Nested Sampling post-processing and plotting

Full Bayesian Inference for Hidden Markov Models