Random Iterative Method (RIM) weighting for survey data, using iterative proportional fitting to align sample distributions with known population margins.
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Updated
Feb 23, 2025 - Python
Random Iterative Method (RIM) weighting for survey data, using iterative proportional fitting to align sample distributions with known population margins.
Simulates complex survey designs and applies Raking (IPF) calibration to reduce bias in demographic and market research studies.
Python implementation of Iterative Proportional Updating (IPU). The IPU algorithm is a general case of iterative proportional fitting that can satisfy two disparate sets of marginals that do not agree on a single total.
Example how to run IPF in R
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