Package: MOSAlloc
Title: Constraint Multiobjective Sample Allocation
Version: 1.2.5
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, <doi:10.25353/ubtr-9200-484c-5c89>) 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: 2026-02-13 23:10:29 UTC; willemsf
Maintainer: Felix Willems <mail.willemsf+MOSAlloc@gmail.com>
Config/testthat/edition: 3
Author: Felix Willems [aut, cre] (ORCID:
    <https://orcid.org/0009-0005-2987-5825>),
  Ralf Münnich [ths] (ORCID: <https://orcid.org/0000-0001-8285-5667>)
Repository: CRAN
Date/Publication: 2026-02-14 14:40:41 UTC
