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MOSAlloc  

Constraint Multiobjective Sample Allocation
View on CRAN: Click here


Download and install MOSAlloc package within the R console
Install from CRAN:
install.packages("MOSAlloc")

Install from Github:
library("remotes")
install_github("cran/MOSAlloc")

Install by package version:
library("remotes")
install_version("MOSAlloc", "1.2.6")



Attach the package and use:
library("MOSAlloc")
Maintained by
Felix Willems
[Scholar Profile | Author Map]
All associated links for this package
First Published: 2026-02-11
Latest Update: 2026-02-11
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'.
How to cite:
Felix Willems (2026). MOSAlloc: Constraint Multiobjective Sample Allocation. R package version 1.2.6, https://cran.r-project.org/web/packages/MOSAlloc. Accessed 25 Oct. 2026.
Previous versions and publish date:
1.2.3 (2026-01-27 22:10), 1.2.4 (2026-02-07 09:10), 1.2.5 (2026-02-14 15:40), (2026-07-09 08:09)
Other packages that cited MOSAlloc R package
View MOSAlloc citation profile
Other R packages that MOSAlloc depends, imports, suggests or enhances
Complete documentation for MOSAlloc
Functions, R codes and Examples using the MOSAlloc R package
Full MOSAlloc package functions and examples
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