pyhf
pyhf: pure-Python implementation of HistFactory statistical models - Published in JOSS (2021)
Multivariate Covariance Generalized Linear Models in Python
Multivariate Covariance Generalized Linear Models in Python: The mcglm library - Published in JOSS (2024)
pomp
R package for statistical inference using partially observed Markov processes
pytorch-inferno
PyTorch implementation of inference aware neural optimisation (de Castro and Dorigo, 2018 https://www.sciencedirect.com/science/article/pii/S0010465519301948)
https://github.com/bdwilliamson/vimpy
Perform inference on algorithm-agnostic variable importance in Python
drtmle
Nonparametric estimators of the average treatment effect with doubly-robust confidence intervals and hypothesis tests
likelihoodbasedprofilewiseanalysis.jl
Julia package which implements and explores the Likelihood-based Profile Wise Analysis workflow for uncertainty quantification
QuasiGLM
Adjust Poisson and Binomial Generalised Linear Models to their quasi equivalents for dispersed data
https://github.com/awslabs/cis-matching-tasks
A package for constructing confidence intervals for error rates in matching tasks such as 1:1 face and speaker verification.
https://github.com/bdwilliamson/spvim_supplementary
Reproduce analyses from "Efficient nonparametric statistical inference on population feature importance using Shapley values"
https://github.com/amazon-science/ssepy
Python package for stratifying, sampling, and estimating model performance with fewer annotations.
https://github.com/cbg-ethz/perturbatr
Analysis of high-throughput genetic perturbation screens in R.
smsets
A collection of simple parameter estimation and significance tests for the comparison of multivariate means and variation, covered in Chapters 4 and 5 of the book Multivariate Statistical Methods. A Primer. 5th edition.
hermes_stat_inf_data_vis
Statistical inference and data visualization for the humanities
permutools
A MATLAB package for multivariate permutation testing and effect size measurement