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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
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: CurricularComplexityData_0.1.0.zip, r-oldrel: CurricularComplexityData_0.1.0.zip
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

Linking:

Please use the canonical form https://CRAN.R-project.org/package=CurricularComplexityData to link to this page.

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.