Exploring and Analyzing Academic Curricula R package CurricularAnalytics version 1.0.0 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>. Software 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 Daniel Krasnov <danielkrasnovdk@hotmail.com> Comprehensive R Archive Network (CRAN) Daniel Krasnov [aut, cre] (ORCID: <https://orcid.org/0009-0003-4104-3162>), Dr. Irene Vrbik [aut, cph] MIT + file LICENSE (https://CRAN.R-project.org/package=CurricularAnalytics/LICENSE) 2024-05-29 application/tgz https://CRAN.R-project.org/package=CurricularAnalytics doi:10.32614/CRAN.package.CurricularAnalytics