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CurricularAnalytics  

Exploring and Analyzing Academic Curricula
View on CRAN: Click here


Download and install CurricularAnalytics package within the R console
Install from CRAN:
install.packages("CurricularAnalytics")

Install from Github:
library("remotes")
install_github("cran/CurricularAnalytics")

Install by package version:
library("remotes")
install_version("CurricularAnalytics", "1.0.0")



Attach the package and use:
library("CurricularAnalytics")
Maintained by
Daniel Krasnov
[Scholar Profile | Author Map]
All associated links for this package
First Published: 2024-05-29
Latest Update: 2024-05-29
Description:
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>.
How to cite:
Daniel Krasnov (2024). CurricularAnalytics: Exploring and Analyzing Academic Curricula. R package version 1.0.0, https://cran.r-project.org/web/packages/CurricularAnalytics. Accessed 21 Aug. 2026.
Previous versions and publish date:
No previous versions
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View CurricularAnalytics citation profile
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Complete documentation for CurricularAnalytics
Functions, R codes and Examples using the CurricularAnalytics R package
Full CurricularAnalytics package functions and examples
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