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 
[aut, cre],
Alexandre Heeren
[aut],
Stéphanie Baggio
[aut],
Luke Clark [aut],
Antonio Verdejo-García
[aut],
José C. Perales
[aut],
Joël Billieux
[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-release (arm64): shortr_1.0.0.tgz, r-oldrel (arm64): not available, r-release (x86_64): shortr_1.0.0.tgz, r-oldrel (x86_64): not available |
Linking:
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