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Apr 6, 2026 - School of Engineering and Applied Science
Fang, Bin, 2026, "Code for modeling WASH components by RTMB", https://doi.org/10.18130/V3/ED1WNW, University of Virginia Dataverse, V1
The repository contains two R code files: data preprocessing and model/prediction/evaluation files.
R Syntax - 34.1 KB - MD5: 8b56131905b92c844820b3c31173ac09
R Syntax - 13.9 KB - MD5: cdcb9c355fc3e41dd77735fb4b639fd4
Apr 6, 2026 - School of Engineering and Applied Science
Fang, Bin, 2026, "A global dataset of household-level water, sanitation, and hygiene (WASH) predicted conditions", https://doi.org/10.18130/V3/O58DEE, University of Virginia Dataverse, V1
The dataset includes GeoTIFF raster layers representing the predicted probability of each ordinal class. Files are named using a standardized convention that encodes the WASH component and ordinal class name.
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