97 Open source projects that are alternatives of or similar to Covid19model

shinystan R package and ShinyStan GUI

Bayesian spatial analysis

RStan, the R interface to Stan

rstanarm R package for Bayesian applied regression modeling

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

General statistics, mathematical programming, and numerical/scientific computing scripts and notebooks in Python

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

Bayesian Generalized Linear Models with Time-Varying Coefficients

bayesplot R package for plotting Bayesian models

Simultaneous Localization and Mapping(SLAM) also gives you a way to track the location of a robot in the world in real-time and identify the locations of landmarks such as buildings, trees, rocks, and other world features.

A Vim plugin for the Stan probabilistic programming language.

A collection of Bayesian data analysis recipes using PyMC3

🎓 Uni-Bonn Decision Analysis graduate course, lectures and materials

Bayesian Data Analysis demos for Python

Stanマニュアルの日本語への翻訳プロジェクト

A probabilistic programming language

Material for a Bayesian statistics workshop

Rank-normalization, folding, and localization: An improved R-hat for assessing convergence of MCMC

Bindings for Bayesian TidyModels

Open Source Photometric classification https://supernnova.readthedocs.io

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

Blang's software development kit

Repository of notes, code and notebooks for the book Pattern Recognition and Machine Learning by Christopher Bishop

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

Transformations to contrained variables from ℝⁿ.

Noisy network measurement with stan

How to do Bayesian statistical modelling using numpy and PyMC3

Bayesian inference from binary causal models

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

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.

Bayesian Data Analysis demos for R

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

A high-level Bayesian analysis API written in Python

Reproducible Bayesian data analysis pipelines with targets and cmdstanr

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

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 Convolutional Neural Network with Variational Inference based on Bayes by Backprop in PyTorch.

The Trendiness of Trends

PyMC3 educational resources

Development of the R package 'Luminescence'

Set model hyperparameters using deterministic, exact algorithms.

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

Tools for an Aesara-based PPL.

Statistical package in Python based on Pandas

Solutions of practice problems from the Richard McElreath's "Statistical Rethinking" book.

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

『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。

A Mathematica package to interact with CmdStan

A python module to detect stellar flares using Bayesian model comparison

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.

Forecasting 🇫🇷 elections with Bayesian statistics 🥳

Bayesian Model Averaging for Random and Fixed Effects Meta-Analysis

Bayesian analysis + tidy data + geoms (R package)

Separating Normalizing Flows code from Pyro and improving API

Collection of (unfinished) notebooks

PyStan, the Python interface to Stan

Text and code for the forthcoming second edition of Think Bayes, by Allen Downey.

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