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LOGANTree  

Tree-Based Models for the Analysis of Log Files from Computer-Based Assessments
View on CRAN: Click here


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

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

Install by package version:
library("remotes")
install_version("LOGANTree", "0.1.1")



Attach the package and use:
library("LOGANTree")
Maintained by
Qi Qin
[Scholar Profile | Author Map]
All associated links for this package
First Published: 2022-03-29
Latest Update:
Description:
Enables researchers to model log-file data from computer-based assessments using machine-learning techniques. It allows researchers to generate new knowledge by comparing the performance of three tree-based classification models (i.e., decision trees, random forest, and gradient boosting) to predict student's outcome. It also contains a set of handful functions for the analysis of the features' influence on the modeling. Data from the Climate control item from the 2012 Programme for International Student Assessment (PISA, ) is available for an illustration of the package's capability. He, Q., & von Davier, M. (2015) Boehmke, B., & Greenwell, B. M. (2019) .
How to cite:
Qi Qin (2022). LOGANTree: Tree-Based Models for the Analysis of Log Files from Computer-Based Assessments. R package version 0.1.1, https://cran.r-project.org/web/packages/LOGANTree. Accessed 07 Mar. 2026.
Previous versions and publish date:
0.1.0 (2022-03-29 21:20), 0.1.1 (2022-06-23 00:20)
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