A Python package for the statistical analysis of A/B tests
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Jul 11, 2026 - Python
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A collection of bias correction techniques written in Python - for climate sciences.
python climate-data cdf climate-science python-module bias-correction linear-scaling climate-data-analysis reanalysis delta-method quantile-mapping bias-adjustment variance-scaling quantile-delta-mapping delta-change-method detrended-quantile-mapping
Bias correction command-line tool for climatic research written in C++
docker docker-image climate-data command-line-tool correction cdf post-processing climate-science time-series-analysis bias-correction linear-scaling reanalysis bias-reduction delta-method climate-prediction quantile-mapping scaling-algorithms bias-adjustment variance-scaling quantile-delta-mapping
This module includes Item Statistics, Model fit, Differential Item Functioning, Wright Map, Expected Scores Curve,and Item Characteristic Curve for DIF using MML estimation of the Rasch measurement model. Furthermore you can analyze DIF, Distractor analysis and Many facet Rasch model.
module tam dif jamovi delta-method rasch-measurement-model wright-map model-fit distractor-analysis raju-method many-facet-rasch-model
lightweight R package around covariate adjustment for binary outcomes focusing on marginal estimands
pydisagg is a Python package for disaggregating estimated count observations across groups under generalized proportionality assumptions.
Uncertainty or Standard Error of Mean propagation using Delta and Monte Carlo methods
python statistics uncertainty-propagation error-propagation measurement-error delta-method monte-carlo-method
Research compendium for the manuscript Pesigan, I. J. A., Russell, M. A., & Chow, S.-M. (2025). Inferences and Effect Sizes for Direct, Indirect, and Total Effects in Continuous-Time Mediation Models. Psychological Methods.
r-package mediation effect-size delta-method monte-carlo-method continuous-time parametric-bootstrap regions-of-significance ctmed
Compares several ways for calculating confidence interval (CI) of the relative difference of two sample means
Тыкаюсь в темах интенсива A/B-week от ШАДа
Sample-Size Calculations for A/B Testing using Delta method
cTMed: Continuous-Time Mediation (Pesigan, Russell, & Chow, 2025: https://doi.org/10.1037/met0000779).
조정된 이중차분(aDID) 추정량의 표준오차 계산 및 Monte Carlo 모의실험 재현 코드
bootstrap monte-carlo-simulation causal-inference delta-method education-research difference-in-differences cluster-robust
Performmance/execution time test of the bias correction tool BiasAdjustCXX v1.8 in comparison to python-cmethods v0.6.1 and xclim v0.40.0.
climate-science performance-testing bias-correction linear-scaling climate-analysis delta-method xclim quantile-mapping variance-scaling quantile-delta-mapping python-cmethods biasadjustcxx
Measures how badly a per-event significance test misreads a per-user experiment. Over 2000 A/A replicates the naive test claims an effect in 0.191 of them against a nominal 0.05. Prices what fixing it costs in power. Offline, seeded, reproducible in one command.
python bootstrap statistics experimentation ab-testing causal-inference delta-method cluster-randomization
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