SAE Unit/area Models and Methods for Estimation in R
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Updated
Sep 14, 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
fastsae: High-Performance Frequentist and Bayesian Small Area Estimation in R
Code for chosen topics of the doctoral thesis of Anna-Lena Wölwer, defended Dec 2022
Context-conditioned normalising flows for subnational refinement of sparse humanitarian surveys (arXiv:2605.31489)
Estimating Rents in Berlin using Small Area Estimation methods - Armutsmessung (WS1819)
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.
Estimating the number of people experiencing homelessness across Washington state
Open-source R tools for complex survey analysis, public health indicators, and spatial small-area estimation using Peruvian population surveys.
Bayesian small-area estimation of school-based arrest rates from the US Dept. of Education Civil Rights Data Collection (2015-16, 2017-18, 2021-22). Reproducible targets + brms pipeline behind the paper, the public API, and the open dataset.
Research code for spatial analysis of depression prevalence and neighborhood environments in Seoul.
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.
Survey weighting, small-area estimation (Fay-Herriot) and statistical disclosure control: a design-based simulation on ACS PUMS
Code and synthetic data for evaluating validation designs in small-area surveillance
Python package for estimating small area metrics from county-level data
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