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shortr: Optimal Subset Identification in Undirected Weighted Network Models

Identifies what optimal subset of a desired number of items should be retained in a short version of a psychometric instrument to assess the “broadest” proportion of the construct-level content of the set of items included in the original version of the said psychometric instrument. Expects a symmetric adjacency matrix as input (undirected weighted network model). Supports brute force and simulated annealing combinatorial search algorithms.

Version: 1.0.0
Depends: R (≥ 4.1.0)
Imports: stats, utils
Published: 2025-01-31
DOI: 10.32614/CRAN.package.shortr
Author: Loïs Fournier ORCID iD [aut, cre], Alexandre Heeren ORCID iD [aut], Stéphanie Baggio ORCID iD [aut], Luke Clark ORCID iD [aut], Antonio Verdejo-García ORCID iD [aut], José C. Perales ORCID iD [aut], Joël Billieux ORCID iD [aut]
Maintainer: Loïs Fournier <lois.fournier at unil.ch>
License: GPL (≥ 3)
URL: https://github.com/lfourni2/shortr
NeedsCompilation: no
Citation: shortr citation info
Materials: README
CRAN checks: shortr results

Documentation:

Reference manual: shortr.pdf

Downloads:

Package source: shortr_1.0.0.tar.gz
Windows binaries: r-devel: shortr_1.0.0.zip, r-release: shortr_1.0.0.zip, r-oldrel: shortr_1.0.0.zip
macOS binaries: r-devel (arm64): shortr_1.0.0.tgz, r-release (arm64): shortr_1.0.0.tgz, r-oldrel (arm64): shortr_1.0.0.tgz, r-devel (x86_64): shortr_1.0.0.tgz, r-release (x86_64): shortr_1.0.0.tgz, r-oldrel (x86_64): shortr_1.0.0.tgz

Linking:

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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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