A package with useful functions for calibration and reweighting in survey sampling
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Updated
Sep 15, 2026 - R
A package with useful functions for calibration and reweighting in survey sampling
Gustave: a User-oriented Statistical Toolkit for Analytical Variance Estimation
**Moved to codeberg** An R package for sequential Poisson sampling
Data Science Assessment from NielsenIQ
Modern inference methods for non-probability samples with R
Design-Adjusted Inference for Pathogen Lineage Surveillance
Leximin Calibration
Online raking with SGD or MWU
Inference from data collected using the geo-sampling, allocator pipeline
Certified pairwise leaderboards for retrieval evaluation. WITNESS samples a few fresh human labels at known probabilities and uses official qrels and LLM judges only as variance-reducing predictors: unbiased for any judgment source, false-discovery-rate controlled, with label-budget forecasts. One-command reproduction.
Spend a labeling budget where it moves the estimate, with inclusion probabilities recorded per item
Theoretical Statistics
Simulation study on reverse-engineering competitor tariffs. Comparing Active Learning, Simple Random Sampling and the Cube Method (Tillé & Deville).
Kurs in Stichprobenverfahren / Course on Survey Sampling Methods in German (graduate level)
Replication code and data for disaggregated AI evaluation using survey sampling, prediction-powered smoothing, and design-based cross-validation.
R scripts of Innocenti et al. (2021, Statistical Methods in Medical Research, 30(2), 357-375)
I analyzed the listening habits of METU students
What're the Fewest Items You Can Select to Code When Coding is Expensive and Dist. is Skewed With s.e. constraints per row?
Design-based survey estimation with weights as the interface
¿Cuánto se equivoca quien ignora el diseño muestral? Análisis en R (survey) de la evaluación Ser Estudiante del Ecuador: estratos, conglomerados y pesos, con verificación a mano
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