Package: LOGANTree
Type: Package
Title: Tree-Based Models for the Analysis of Log Files from
        Computer-Based Assessments
Version: 0.1.1
Authors@R: c(person("Denise", "Reis Costa", role = c("aut", "ths"), email = "denise.reis@gmail.com"), person("Qi", "Qin", role = c("aut", "cre"), email = "logantreeqq@gmail.com"))
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, <https://www.oecd.org/pisa/>) is available for an illustration of the package's capability. He, Q., & von Davier, M. (2015) <doi:10.1007/978-3-319-19977-1_13> Boehmke, B., & Greenwell, B. M. (2019) <doi:10.1201/9780367816377> .
License: GPL-3
Encoding: UTF-8
LazyData: true
RoxygenNote: 7.1.2
Depends: R (>= 3.5.0)
Imports: ROCR, caret, caretEnsemble, dplyr, ggplot2, rpart.plot,
        tibble, gbm, stats
NeedsCompilation: no
Packaged: 2022-06-22 19:16:42 UTC; na.
Author: Denise Reis Costa [aut, ths],
  Qi Qin [aut, cre]
Maintainer: Qi Qin <logantreeqq@gmail.com>
Repository: CRAN
Date/Publication: 2022-06-22 22:20:06 UTC
Built: R 4.1.2; ; 2022-06-23 11:18:39 UTC; unix
