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Semiparametric Ecological Inference

Efficient and user-friendly routines for modern ecological inference. Implements the methods described in McCartan & Kuriwaki (2025+) <doi:10.48550/arXiv.2509.20194>, which generalize ecological regression as introduced by Goodman (1953) <doi:10.2307/2088121>. Includes routines for preprocessing, synthetic data generation, double/debiased machine learning (DML) estimation, partial identification bounds, and sensitivity analysis.

Versions across snapshots

VersionRepositoryFileSize
0.1.2 rolling linux/jammy R-4.5 seine_0.1.2.tar.gz 993.7 KiB
0.1.2 rolling linux/noble R-4.5 seine_0.1.2.tar.gz 1002.9 KiB
0.1.2 rolling source/ R- seine_0.1.2.tar.gz 559.7 KiB
0.1.2 latest linux/jammy R-4.5 seine_0.1.2.tar.gz 993.7 KiB
0.1.2 latest linux/noble R-4.5 seine_0.1.2.tar.gz 1002.9 KiB
0.1.2 latest source/ R- seine_0.1.2.tar.gz 559.7 KiB
0.1.2 2026-04-23 source/ R- seine_0.1.2.tar.gz 0 B

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