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
An R implementation of systematic sampling methods for finite populations. This repository includes functions for generating systematic samples, enumerating all possible systematic samples, and computing systematic correlation coefficients used in sampling theory and survey statistics. Designed primarily for educational purposes, statistical demons
Spend a labeling budget where it moves the estimate, with inclusion probabilities recorded per item
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Simulation study on reverse-engineering competitor tariffs. Comparing Active Learning, Simple Random Sampling and the Cube Method (Tillé & Deville).
Theoretical Statistics
R scripts of Innocenti et al. (2021, Statistical Methods in Medical Research, 30(2), 357-375)
Design-based sampling in R. Eleven reusable sampling designs that know their own inclusion probabilities, so a drawn sample carries the weights needed for Horvitz-Thompson totals and means with standard errors.
Tidy R tools for creel survey design, estimation, validation, and management-ready reporting.
Simulates complex survey designs and applies Raking (IPF) calibration to reduce bias in demographic and market research studies.
Version locale CAE-INS de ReGenesees — calage et estimation pour enquêtes complexes
Evidence-backed Steam review analysis with measured sampling, LLM evaluation, and published error rates.
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