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# CITATION file created with {cffr} R package
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cff-version: 1.2.0
message: 'To cite package "LOGANTree" in publications use:'
type: software
license: GPL-3.0-only
title: 'LOGANTree: Tree-Based Models for the Analysis of Log Files from Computer-Based
  Assessments'
version: 0.1.1
doi: 10.32614/CRAN.package.LOGANTree
abstract: 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, <https://www.oecd.org/pisa/>) is available
  for an illustration of the package's capability. He, Q., & von Davier, M. (2015)
  <https://doi.org/10.1007/978-3-319-19977-1_13> Boehmke, B., & Greenwell, B. M. (2019)
  <https://doi.org/10.1201/9780367816377> .
authors:
- family-names: Reis Costa
  given-names: Denise
  email: denise.reis@gmail.com
- family-names: Qin
  given-names: Qi
  email: logantreeqq@gmail.com
repository: https://cranhaven.r-universe.dev
commit: e96b4221c6a6ee34573d378f90dc99f90eae1713
date-released: '2022-06-22'
contact:
- family-names: Qin
  given-names: Qi
  email: logantreeqq@gmail.com