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seine: 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.

Version: 0.1.2
Depends: R (≥ 3.5.0)
Imports: rlang, cli, tidyselect, tibble, hardhat, quadprog, graphics, utils, stats
LinkingTo: cpp11, cpp11armadillo, testthat
Suggests: bases, knitr, rmarkdown, testthat (≥ 3.0.0), xml2
Published: 2026-06-08
DOI: 10.32614/CRAN.package.seine (may not be active yet)
Author: Cory McCartan ORCID iD [aut, cre, cph], Shiro Kuriwaki ORCID iD [aut, cph]
Maintainer: Cory McCartan <mccartan at psu.edu>
BugReports: https://github.com/CoryMcCartan/seine/issues
License: MIT + file LICENSE
URL: https://corymccartan.com/seine/, https://github.com/CoryMcCartan/seine
NeedsCompilation: yes
Citation: seine citation info
Materials: README, NEWS
CRAN checks: seine results

Documentation:

Reference manual: seine.html , seine.pdf
Vignettes: Local estimates for ecological inference (source, R code)
Analyzing aggregate data (source, R code)
Sensitivity analysis for ecological inference (source, R code)
Testing the CAR assumption (source, R code)
Custom sensitivity contour plots (source, R code)

Downloads:

Package source: seine_0.1.2.tar.gz
Windows binaries: r-devel: not available, r-release: seine_0.1.2.zip, r-oldrel: not available
macOS binaries: r-release (arm64): seine_0.1.2.tgz, r-oldrel (arm64): seine_0.1.2.tgz, r-release (x86_64): seine_0.1.2.tgz, r-oldrel (x86_64): seine_0.1.2.tgz

Linking:

Please use the canonical form https://CRAN.R-project.org/package=seine to link to this page.

These binaries (installable software) and packages are in development.
They may not be fully stable and should be used with caution. We make no claims about them.
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