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)
measr
measr: Bayesian psychometric measurement using Stan - Published in JOSS (2023)
BCEA
BCEA: An R Package for Cost-Effectiveness Analysis - Published in JOSS (2022)
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
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.
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.
spwombling
R-package for performing curvilinear Bayesian Wombling on spatial data. Required for the paper titled, "Bayesian Modeling with Spatial Curvature Processes"
pecan
The Predictive Ecosystem Analyzer (PEcAn) is an integrated ecological bioinformatics toolbox.
ExtendedRtIrtModeling
Extended Response Time Item Response Models with Polya-Gamma Sampler and Bayesian Quantile Regression.
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.
posteriorplots.jl
Graphical tools for Bayesian inference and posterior predictive checks
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".
bayesianml
This is a GitHub repository for our Bayeisan Machine Learning textbook, which includes the PDF for the book and accompanying Python notebooks.