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
shinybrms
An R package providing a GUI ('shiny' app) for the R package 'brms'.
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.
calisim-examples-workshop-material
Workshop for calisim: A toolbox for the calibration and evaluation of simulation models.
https://github.com/baggepinnen/turing2montecarlomeasurements.jl
Interface between Turing.jl and MonteCarloMeasurements.jl
deconv_code_data
Deconvolution of the growth law equation. Theory and experiments published at https://doi.org/10.5194/gi-11-293-2022
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.
coevolve
coevolve R package for Bayesian generalized dynamic phylogenetic models using Stan
ExtendedRtIrtModeling
Extended Response Time Item Response Models with Polya-Gamma Sampler and Bayesian Quantile Regression.
NonparametricVI
Particle-based and nonparametric variational methods for approximate Bayesian inference and Probabilistic Programming
intro-bayesian-statistics-training
SIB course on bayesian statistics with applications using Rstan
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.
pyhaics
Python Library for Hamiltonian Markov-Chain Monte-Carlo in Computational Statistics (pyHaiCS).
bcf-iv
Package for heterogeneous causal effects in the presence of imperfect compliance (e.g., instrumental variables, fuzzy regression discontinuity designs)
baylum
Chronological Bayesian models integrated for Optically Stimulated Luminescence (OSL) Dating
dry-tortugas-calibration-fun
Replicates the Sr/Ca calibration of DeLong et al. 2011
posteriorplots.jl
Graphical tools for Bayesian inference and posterior predictive checks