#

raking

Here are 10 public repositories matching this topic...

aaronrudkin / autumn

autumn: Fast, Modern, and Tidy-Friendly Iterative Raking in R.

r weighting survey stats r-package r-stats raking

Updated Jan 31, 2024
R

ttrodrigz / iterake

Create weights with iterative raking.

r weighting tidy raking

Updated Mar 19, 2024
R

kaitumisuuringute-keskus / Weightipy

RIM iterative raking algorithm for people data

python data weighting survey people weights iterative rim raking iterake

Updated Feb 2, 2026
Python

philmikejones / rakeR

Tools for easy spatial microsimulation (raking) in R

cran raker spatial-microsimulation ipf raking

Updated Mar 26, 2019
R

BaconZhou / Bayesian-Raking

Code to reproduce result in Paper "Bayes-raking: Bayesian Finite Population Inference with Known Margins"

survey stan contingency-table raking bayeisan finite-sample

Updated Feb 20, 2019
R

interaminense-creative-lab / ranking-builder

Ranking Builder is an NPM package that allows you to manage game rankings using Firebase as the database. It was developed using TypeScript, Firebase, and Vite for development mode.

firebase raking ranking-builder

Updated Jan 18, 2023
TypeScript

EwertonDCSilv / qs-ranking

Script para obter dados do Ranking QS

javascript position tampermonkey score qs raking topuniversities

Updated Mar 5, 2021
JavaScript

robruu / tam-smaller-panel-slides

Reveal.js slides: simulating a smaller TV audience measurement (TAM) panel — 10 samples of 1,000 individuals, raked to the universe and compared against full-panel spot results

bootstrap r revealjs quarto raking tv-audience-measurement survey-weighting

Updated Jun 23, 2026
SCSS

davdittrich / autumn

autumn: Fast, Modern, and Tidy-Friendly Iterative Raking in R.

r tidyverse weighting survey survey-data calibration r-package ipf raking survey-methodology iterative-proportional-fitting

Updated Apr 19, 2026
R

juancarloschc8 / survey-sampling-calibration

Simulates complex survey designs and applies Raking (IPF) calibration to reduce bias in demographic and market research studies.

weighting calibration statistical-inference market-research survey-sampling ipf bias-correction stratified-sampling raking iterative-proportional-fitting complex-surveys cluster-sampling

Updated Nov 25, 2025
Jupyter Notebook

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