Package: MOSAlloc Title: Constraint Multiobjective Sample Allocation Version: 1.2.6 Authors@R: c(person(given = "Felix", family = "Willems", role = c("aut", "cre"), email = "mail.willemsf+MOSAlloc@gmail.com", comment = c(ORCID = "0009-0005-2987-5825")), person(given = "Ralf", family = "Münnich", role = c("ths"), comment = c(ORCID = "0000-0001-8285-5667"), email = "") ) Description: Provides a framework for multipurpose optimal resource allocation in survey sampling, extending the classical optimal allocation principles introduced by Tschuprow (1923) and Neyman (1934) to multidomain and multivariate allocation problems. The primary method mosalloc() allows for the consideration of precision and cost constraints at the subpopulation level while minimizing either a vector of sampling errors or survey costs across a broad range of optimal sample allocation problems. The approach supports both single- and multistage designs. For single-stage stratified random sampling, the mosallocSTRS() function offers a user- friendly interface. Sensitivity analysis is supported through the problem's dual variables, which are naturally obtained via the internal use of the Embedded Conic Solver from the 'ECOSolveR' package. See Willems (2025, ) for a detailed description of the theory behind 'MOSAlloc'. License: GPL (>= 3) URL: https://gitlab.com/willemsf/mosalloc BugReports: https://gitlab.com/willemsf/mosalloc/-/issues Encoding: UTF-8 RoxygenNote: 7.3.3 Imports: ECOSolveR, Matrix Suggests: parallel, testthat (>= 3.0.0) NeedsCompilation: no Packaged: 2026-07-07 06:58:01 UTC; root Maintainer: Felix Willems Config/testthat/edition: 3 Author: Felix Willems [aut, cre] (ORCID: ), Ralf Münnich [ths] (ORCID: ) Repository: https://cran.r-universe.dev Date/Publication: 2026-06-07 06:44:41 UTC RemoteUrl: https://github.com/cran/MOSAlloc RemoteRef: HEAD RemoteSha: 2a5b40b842470d7c755b8fe5abe5ee94cf8ad530