ArviZ a unified library for exploratory analysis of Bayesian models in Python
ArviZ a unified library for exploratory analysis of Bayesian models in Python - Published in JOSS (2019)
bayestestR
bayestestR: Describing Effects and their Uncertainty, Existence and Significance within the Bayesian Framework - Published in JOSS (2019)
Methods and Algorithms for Correlation Analysis in R
Methods and Algorithms for Correlation Analysis in R - Published in JOSS (2020)
measr
measr: Bayesian psychometric measurement using Stan - Published in JOSS (2023)
geostan
geostan: An R package for Bayesian spatial analysis - Published in JOSS (2022)
The psycho Package
The psycho Package: an Efficient and Publishing-Oriented Workflow for Psychological Science - Published in JOSS (2018)
BCEA
BCEA: An R Package for Cost-Effectiveness Analysis - Published in JOSS (2022)
The jagstargets R package
The jagstargets R package: a reproducible workflow framework for Bayesian data analysis with JAGS - Published in JOSS (2021)
kima
kima: Exoplanet detection in radial velocities - Published in JOSS (2018)
stardate
stardate: Combining dating methods for better stellar ages - Published in JOSS (2019)
The stantargets R package
The stantargets R package: a workflow framework for efficient reproducible Stan-powered Bayesian data analysis pipelines - Published in JOSS (2021)
ChiRP
ChiRP: Chinese Restaurant Process Mixtures for Regression and Clustering - Published in JOSS (2019)
BASiCS
BASiCS: Bayesian Analysis of Single-Cell Sequencing Data. This is an unstable experimental version. Please see http://bioconductor.org/packages/BASiCS/ for the official release version
tumoroscope-pymc
Python package of the 'Tumoroscope' model implemented in PyMC.
sptwdglm
R-package for performing Bayesian Variable Selection in Double Generalized Linear Tweedie Spatial Process Models
sccomp
Mixed-effect model to test differences in cell type proportions from single-cell data, in R
beautier
R package to generate the same BEAST2 XML parameter files as generated by BEAUti 2
thompson
Thompson is Python package to evaluate the multi-armed bandit problem. In addition to thompson, Upper Confidence Bound (UCB) algorithm, and randomized results are also implemented.
baker
👩🍳 🥧 Bayesian Analysis Kit for Etiology Research via Nested Partially Latent Class Models
jfa
jfa is an R package that provides statistical methods for auditing. Its functionality and intended workflow are implemented with a graphical user interface in the Audit module of JASP (https://jasp-stats.org), a free and open-source software program for statistical analyses.
pyGPGO
pyGPGO: Bayesian Optimization for Python - Published in JOSS (2017)
https://github.com/corymccartan/conformalbayes
Jackknife(+) Predictive Intervals for Bayesian Models
JointAI
Joint Analysis and Imputation of generalized linear models and linear mixed models with missing values
https://github.com/sourestdeeds/firefly
Firefly (pip install firefly-tess) is a self-contained python EDA pipeline which uses TransitFit to fit TESS lightcurves (time-series data), capable of fully automating the data retrieval required.
https://github.com/cwwhitney/hortiprimed
Process of modeling the expected effects of priming tomato plants
BVAR
Toolkit for the estimation of hierarchical Bayesian vector autoregressions. Implements hierarchical prior selection for conjugate priors in the fashion of Giannone, Lenza & Primiceri (2015). Allows for the computation of impulse responses and forecasts and provides functionality for assessing results.
shinybrms
An R package providing a GUI ('shiny' app) for the R package 'brms'.
vizdraws
vizdraws creates interactive visualizations using draws from a prior and posterior distributions.
https://github.com/arviz-devs/arviz.jl
Exploratory analysis of Bayesian models with Julia
https://github.com/arviz-devs/inferenceobjects.jl
Storage for results of Bayesian inference
LMMELSM
R Package for fitting latent multivariate mixed effects location scale models.
https://github.com/bonstats/tidytreatment
Tidy methods for Bayesian treatment effect models
MIRES
R package for Bayesian measurement invariance assessment using mixed effects and shrinkage.
remiod
R package for controlled multiple imputation of ordinal or binary responses with missing data in clinical study
https://github.com/cran-task-views/bayesian
CRAN Task View: Bayesian Inference
https://github.com/4ment/flc
Local clock model using relaxed and strict clocks
https://github.com/cahya-wirawan/text-classification
Text Classification engine using several algorithms in machine learning
https://github.com/astro-informatics/darkmappy
Scalable mapping of the dark universe
bvartools
Functions for Bayesian inference of vector autoregressive and vector error correction models
https://github.com/madsjulia/biguq.jl
Bayesian Information Gap Decision Theory
NetworkChange
R package for change-point analysis and latent block structure recovery from network time series data
dreamer
An R package to fit Bayesian model averaging of (possibly longitudinal) dose-response models.
goldilocks
Implement Goldilocks Bayesian adaptive design for time-to-event outcomes using a piecewise exponential distribution.
popbayes
:package: Bayesian Model to Estimate Animal Population Trends from Counts Series
https://github.com/cdcgov/rstr
Rate Stabilizing Tool R Package: Gibbs Samplers for Bayesian Spatiotemporal CAR Models
pecan
The Predictive Ecosystem Analyzer (PEcAn) is an integrated ecological bioinformatics toolbox.
J-UBIK: The JAX-accelerated Universal Bayesian Imaging Kit
J-UBIK: The JAX-accelerated Universal Bayesian Imaging Kit - Published in JOSS (2026)
gempy
GemPy is an open-source, Python-based 3-D structural geological modeling software, which allows the implicit (i.e. automatic) creation of complex geological models from interface and orientation data. It also offers support for stochastic modeling to address parameter and model uncertainties.
cognitivemodels
Cognitive Models: Computational Modeling of Cognitive Processes with Bayesian Mixed Models in Julia
ExtendedRtIrtModeling
Extended Response Time Item Response Models with Polya-Gamma Sampler and Bayesian Quantile Regression.
https://github.com/arh926/bayesian-modeling-with-spatial-curvature-processes
Reproducibility Check for Journal of the American Statistical Association (Theory and Methods)
https://github.com/dmetivie/abcmethods.jl
A Julia package implementing some Bayesian ABC methods
eep-sousa-weaningage
This repository contains the source code for the study "Modeling life history parameters in marine mammals: Bayesian hierarchical analysis of ontogenetic dietary shifts in Indo-Pacific humpback dolphins".
rbvfit
A Bayesian Voigt profile fitter. Optimized for absorption line analysis.
posteriorplots.jl
Graphical tools for Bayesian inference and posterior predictive checks
posterior: Tools for Working with Posterior Distributions in R
posterior: Tools for Working with Posterior Distributions in R - Published in JOSS (2026)
bayesianml
This is a GitHub repository for our Bayeisan Machine Learning textbook, which includes the PDF for the book and accompanying Python notebooks.
speclet
A Bayesian hierarchical model to discover tissue-specific cancer driver genes and synthetic lethal interactions from CRISPR/Cas9 LoF screens.
https://github.com/sebhaan/tabpfgen
TabPFGen: Synthetic Tabular Data Generation with TabPFN
BASiCStan
Stan implementation of BASiCS: https://github.com/catavallejos/BASiCS/
spwombling
R-package for performing curvilinear Bayesian Wombling on spatial data. Required for the paper titled, "Bayesian Modeling with Spatial Curvature Processes"
https://github.com/astro-informatics/proxnest
Proximal Nested Sampling for high-dimensional Bayesian model selection
