Methods for Multiple Systems Estimation R package MultipleSystemsEstimation version 1.3.2 Methods for multiple systems estimation using Poisson log-linear models, with particular attention to sparse capture data, model selection and its associated uncertainty, and Bayesian thresholding of interaction effects. The package implements and extends methodology from Silverman (2020) <doi:10.1111/rssa.12505>, Chan, Silverman and Vincent (2021) <doi:10.1080/01621459.2019.1708748>, and Silverman, Chan and Vincent (2024) <doi:10.1007/s11222-023-10346-9>. Software Depends: R (>= 4.2.0) Imports: lpSolve, MCMCpack Suggests: knitr, rmarkdown, testthat (>= 3.0.0) Bernard W. Silverman <bernard.silverman@stats.ox.ac.uk> Comprehensive R Archive Network (CRAN) Bernard W. Silverman [aut, cre], Lax Chan [ctb], Kyle Vincent [ctb] GPL (>= 2) 2026-10-22 application/tgz https://CRAN.R-project.org/package=MultipleSystemsEstimation doi:10.32614/CRAN.package.MultipleSystemsEstimation