SAE Unit/area Models and Methods for Estimation in R
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Updated
May 10, 2026 - R
SAE Unit/area Models and Methods for Estimation in R
Modern Python ecosystem for complex survey design, weighting, estimation, and small area estimation.
Simulation in R for Small Area Estimation (SAE) using the AMELIA dataset
Course repository for CS&SS 554: Statistical Methods for Spatial Data (Winter 2025) with Dr. Jon Wakefield
Evaluating the suitability of spatial adjacency for small-area estimation
Estimating Rents in Berlin using Small Area Estimation methods - Armutsmessung (WS1819)
Context-conditioned normalising flows for subnational refinement of sparse humanitarian surveys (arXiv:2605.31489)
Code for chosen topics of the doctoral thesis of Anna-Lena Wölwer, defended Dec 2022
Research code for spatial analysis of depression prevalence and neighborhood environments in Seoul.
Estimating the number of people experiencing homelessness across Washington state
Bayesian Small Area Estimation of district-level population in Odisha using WorldPop and Sentinel-2 derived covariates (NTL, NDVI, EVI) with INLA-BYM2 spatial models in R.
Open-source R tools for complex survey analysis, public health indicators, and spatial small-area estimation using Peruvian population surveys.
This is the repo that hosts my Master's Thesis Code
Offline-first Progressive Web App for statisticians. Upload a survey codebook, pick from 16 area-level and unit-level SAE methods, and download ready-to-run, commented R and Stata scripts — no advanced statistics knowledge required.
Python package for estimating small area metrics from county-level data
Difference Benchmarking for Multivariate Small Area Estimation (https://rdocumentation.org/packages/msaeDB/versions/0.2.1)
🌐 Analyze complex surveys with svy, a modern Python toolkit designed for efficient survey design, weighting, and estimation workflows.
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