![]() ![]() This function can be used, for example, to determine which neighorhoods are most responsive to an anti-poverty intervention using earth observation data from, e.g., satellites. For example, the function, AnalyzeImageHeterogeneity, performs the image-based treatment effect heterogeneity decomposition described in Jerzak, Johansson, and Daoud (2023). This package, causalimages, enables causal analysis with images. ![]() Image information is a particularly promising data stream in this context: it widely available and richly informative in social science and bio-medical contexts. Stable package version: /AIandGlobalDevelopmentLab/causalimages-softwareīeta package version: /cjerzak/causalimages-software What is causalimages?Ĭausal inference has entered a new stage where novel data sources are being integrated into the study of cause and effect. | Image/Video Embeddings | Speeding Up Code ![]() Causalimages: An R Package for Causal Inference with Earth Observation, Bio-medical, and Social Science Images ![]()
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