delta-method 开源项目推荐（16 个）

e10v /tea-tasting

A Python package for the statistical analysis of A/B tests

btschwertfeger /python-cmethods

A collection of bias correction techniques written in Python - for climate sciences.

btschwertfeger /BiasAdjustCXX

Bias correction command-line tool for climatic research written in C++

hyunsooseol /snowIRT

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.

openpharma /beeca

lightweight R package around covariate adjustment for binary outcomes focusing on marginal estimands

ihmeuw-msca /pyDisagg

pydisagg is a Python package for disaggregating estimated count observations across groups under generalized proportionality assumptions.

yiorgoskost /Uncertainty-Propagation

Uncertainty or Standard Error of Mean propagation using Delta and Monte Carlo methods

jeksterslab /manCTMed

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.

e10v /relative-confidence-interval

Compares several ways for calculating confidence interval (CI) of the relative difference of two sample means

VictorChepkasov /ab-week-shad

Тыкаюсь в темах интенсива A/B-week от ШАДа

ksvamb /AB-Testing

Sample-Size Calculations for A/B Testing using Delta method

jeksterslab /cTMed

cTMed: Continuous-Time Mediation (Pesigan, Russell, & Chow, 2025: https://doi.org/10.1037/met0000779).

sangyunlee-education /adid-inference

조정된 이중차분(aDID) 추정량의 표준오차 계산 및 Monte Carlo 모의실험 재현 코드

btschwertfeger /BiasAdjustCXX-Performance-Test

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.

jayanthkodamachili /ratio-metric-ab-readout

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.

oliviergimenez /delta_method

Illustrate the delta-method