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CurricularAnalytics: Exploring and Analyzing Academic Curricula (original) (raw)

Provides an implementation of ‘Curricular Analytics’, a framework for analyzing and quantifying the complexity of academic curricula. Curricula are modelled as directed acyclic graphs and analytics are provided based on path lengths and edge density. This work directly comes from Heileman et al. (2018) <doi:10.48550/arXiv.1811.09676>.

Version: 1.0.0
Depends: R (≥ 3.5.0)
Imports: dplyr (≥ 1.1.4), igraph (≥ 2.0.3), stats (≥ 4.4.0), tools (≥ 4.4.0), utils (≥ 4.4.0), visNetwork (≥ 2.1.2)
Suggests: knitr, rmarkdown
Published: 2024-05-29
DOI: 10.32614/CRAN.package.CurricularAnalytics
Author: Daniel Krasnov ORCID iD [aut, cre], Dr. Irene Vrbik [aut, cph]
Maintainer: Daniel Krasnov
BugReports: https://github.com/Danyulll/CurricularAnalytics/issues
License: MIT + file
URL: https://github.com/Danyulll/CurricularAnalytics
NeedsCompilation: no
Materials: README NEWS
CRAN checks: CurricularAnalytics results

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