Pingouin
Pingouin: statistics in Python - Published in JOSS (2018)
PreliZ
PreliZ: A tool-box for prior elicitation - Published in JOSS (2023)
uravu
uravu: Making Bayesian modelling easy(er) - Published in JOSS (2020)
statsExpressions
statsExpressions: R Package for Tidy Dataframes and Expressions with Statistical Details - Published in JOSS (2021)
bayes-toolbox
bayes-toolbox: A Python package for Bayesian statistics - Published in JOSS (2023)
ParaMonte
ParaMonte: A high-performance serial/parallel Monte Carlo simulation library for C, C++, Fortran - Published in JOSS (2021)
geostan
geostan: An R package for Bayesian spatial analysis - Published in JOSS (2022)
ChainoPy
ChainoPy: A Python Library for Discrete Time Markov Chain Based Stochastic Analysis - Published in JOSS (2024)
UBayFS
UBayFS: An R Package for User Guided Feature Selection - Published in JOSS (2023)
minorbsem
minorbsem: An R package for structural equation models that account for the influence of minor factors - Published in JOSS (2023)
ChiRP
ChiRP: Chinese Restaurant Process Mixtures for Regression and Clustering - Published in JOSS (2019)
BayesFlow
BayesFlow: Amortized Bayesian Workflows With Neural Networks - Published in JOSS (2023)
Taweret
Taweret: a Python package for Bayesian model mixing - Published in JOSS (2024)
mvgam
{mvgam} R 📦 to fit Dynamic Bayesian Generalized Additive Models for multivariate modeling and forecasting
Decision_Analysis_Course
🎓 Uni-Bonn Decision Analysis graduate course, lectures and materials
https://github.com/cbg-ethz/jnotype
Probabilistic modeling of high-dimensional binary data in JAX
https://github.com/andreas-bauer/at-study
https://github.com/arviz-devs/posteriorstats.jl
Statistical analyses for Bayesian workflows
goldilocks
Implement Goldilocks Bayesian adaptive design for time-to-event outcomes using a piecewise exponential distribution.
baylum
Chronological Bayesian models integrated for Optically Stimulated Luminescence (OSL) Dating
Brusa_et_al_2024_Ecosphere
Contains data and code for Brusa et al. 2024. Correcting for measurement errors in a long-term aerial survey with auxiliary photographic data. Ecosphere DOI: 10.1002/ecs2.4961.
dry-tortugas-calibration-fun
Replicates the Sr/Ca calibration of DeLong et al. 2011
calisim-examples-workshop-material
Workshop for calisim: A toolbox for the calibration and evaluation of simulation models.
posteriorplots.jl
Graphical tools for Bayesian inference and posterior predictive checks
abms
Tools to perform model selection alongside estimation under Linear, Logistic, Negative binomial, Quantile, and Skew-Normal regression. Under the spike-and-slab method, a probability for each possible model is estimated with the posterior mean, credibility interval, and standard deviation of coefficients and parameters under the most probable model.
bcf-iv
Package for heterogeneous causal effects in the presence of imperfect compliance (e.g., instrumental variables, fuzzy regression discontinuity designs)
pyhaics
Python Library for Hamiltonian Markov-Chain Monte-Carlo in Computational Statistics (pyHaiCS).
intro-bayesian-statistics-training
SIB course on bayesian statistics with applications using Rstan
coevolve
coevolve R package for Bayesian generalized dynamic phylogenetic models using Stan
NonparametricVI
Particle-based and nonparametric variational methods for approximate Bayesian inference and Probabilistic Programming
deconv_code_data
Deconvolution of the growth law equation. Theory and experiments published at https://doi.org/10.5194/gi-11-293-2022
ExtendedRtIrtModeling
Extended Response Time Item Response Models with Polya-Gamma Sampler and Bayesian Quantile Regression.
https://github.com/baggepinnen/turing2montecarlomeasurements.jl
Interface between Turing.jl and MonteCarloMeasurements.jl