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)
Code for chosen topics of the doctoral thesis of Anna-Lena WΓΆlwer, defended Dec 2022
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
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 β 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)
First-stage site-year point estimates and standard errors for empirical Bayes workflows. Covers binomial, multivariate, multinomial, and aggregate inputs across five scenarios.
π Analyze complex surveys with svy, a modern Python toolkit designed for efficient survey design, weighting, and estimation workflows.
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