A Python package for the statistical analysis of A/B tests
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Apr 2, 2026 - Python
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delta-method
Here are 14 public repositories matching this topic...
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
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Apr 18, 2026 - Python
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
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Apr 21, 2026 - R
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
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Apr 18, 2026 - C++
lightweight R package around covariate adjustment for binary outcomes focusing on marginal estimands
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Feb 9, 2026 - R
pydisagg is a Python package for disaggregating estimated count observations across groups under generalized proportionality assumptions.
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Aug 6, 2025 - Python
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
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Oct 25, 2020 - Jupyter Notebook
Compares several ways for calculating confidence interval (CI) of the relative difference of two sample means
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Nov 9, 2022 - Python
Тыкаюсь в темах интенсива A/B-week от ШАДа
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Aug 13, 2025 - Jupyter Notebook
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
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Jan 3, 2026 - TeX
Sample-Size Calculations for A/B Testing using Delta method
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Apr 16, 2024 - R
cTMed: Continuous-Time Mediation (Pesigan, Russell, & Chow, 2025: https://doi.org/10.1037/met0000779).
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Feb 6, 2026 - TeX
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
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Feb 28, 2023 - HTML
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