CurricularComplexityData: Data for Exploring Curricular Complexity

Provides 'igraph' objects representing engineering plans of study across multiple disciplines and institutions. The data are intended for use with the 'CurricularComplexity' package (Reeping, 2026) <https://CRAN.R-project.org/package=CurricularComplexity> to support analyses of curricular structure. The package leverages network analysis approaches implemented in 'igraph' (Csárdi et al., 2025) <doi:10.5281/zenodo.7682609>.

Version: 0.1.0
Depends: R (≥ 3.5)
Suggests: CurricularComplexity
Published: 2026-02-04
DOI: 10.32614/CRAN.package.CurricularComplexityData (may not be active yet)
Author: David Reeping [aut, cre], Nahal Rashedi [ctb], Elliot Setser [ctb], Sushant Padhye [ctb], Autri Banerjee [ctb], Emily Hodge [ctb], Levi Smith [ctb]
Maintainer: David Reeping <reepindp at ucmail.uc.edu>
License: MIT + file LICENSE
NeedsCompilation: no
CRAN checks: CurricularComplexityData results

Documentation:

Reference manual: CurricularComplexityData.html , CurricularComplexityData.pdf

Downloads:

Package source: CurricularComplexityData_0.1.0.tar.gz
Windows binaries: r-devel: CurricularComplexityData_0.1.0.zip, r-release: not available, r-oldrel: not available
macOS binaries: r-release (arm64): not available, r-oldrel (arm64): not available, r-release (x86_64): CurricularComplexityData_0.1.0.tgz, r-oldrel (x86_64): CurricularComplexityData_0.1.0.tgz

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