Package: LOGANTree 0.1.1
Qi Qin
LOGANTree: Tree-Based Models for the Analysis of Log Files from Computer-Based Assessments
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> .
Authors:
LOGANTree_0.1.1.tar.gz
LOGANTree_0.1.1.tar.gz(r-4.5-noble)LOGANTree_0.1.1.tar.gz(r-4.4-noble)
LOGANTree_0.1.1.tgz(r-4.4-emscripten)LOGANTree_0.1.1.tgz(r-4.3-emscripten)
LOGANTree.pdf |LOGANTree.html✨
LOGANTree/json (API)
# Install 'LOGANTree' in R: |
install.packages('LOGANTree', repos = c('https://cran.r-universe.dev', 'https://cloud.r-project.org')) |
- cp025q01.features - Data for PISA 2012, CP025, Q01
- cp025q01.wgt - Treated data for PISA 2012, CP025, Q01
- testing - PISA 2012, CP025, Q01 (selected countries) Testing Data Set
- training - PISA 2012, CP025, Q01 (selected countries) Training Data Set
This package does not link to any Github/Gitlab/R-forge repository. No issue tracker or development information is available.
Last updated 2 years agofrom:34d244e04a. Checks:OK: 2. Indexed: yes.
Target | Result | Date |
---|---|---|
Doc / Vignettes | OK | Sep 02 2024 |
R-4.5-linux | OK | Sep 02 2024 |
Exports:ChiSquarePlotChiSquareTableComputeChisquaredDataPartitionDtResultNearZeroVariancePartialDependencePlotPerformanceMetricsRocPlotTreeModelsTreeModelsAllStepsVariableImportancePlotVariableImportanceTable
Dependencies:bitopscaretcaretEnsemblecaToolsclasscliclockcodetoolscolorspacecpp11data.tablediagramdigestdplyre1071fansifarverforeachfuturefuture.applygbmgenericsggplot2globalsgluegowergplotsgtablegtoolshardhatipredisobanditeratorsKernSmoothlabelinglatticelavalifecyclelistenvlubridatemagrittrMASSMatrixmgcvModelMetricsmunsellnlmennetnumDerivparallellypatchworkpbapplypillarpkgconfigplyrpROCprodlimprogressrproxypurrrR6RColorBrewerRcpprecipesreshape2rlangROCRrpartrpart.plotscalesshapeSQUAREMstringistringrsurvivaltibbletidyrtidyselecttimechangetimeDatetzdbutf8vctrsviridisLitewithr