qeML: Quick and Easy Machine Learning Tools

The letters 'qe' in the package title stand for "quick and easy," alluding to the convenience goal of the package. We bring together a variety of machine learning (ML) tools from standard R packages, providing wrappers with a simple, convenient, and uniform interface.

Version: 1.1
Depends: R (≥ 3.5.0), regtools (≥ 0.8.0), gtools, rmarkdown, tufte
Imports: grf, gbm, toweranNA, tm, rpart, rpart.plot, partools, FOCI
Suggests: knitr, partykit, randomForest, ranger, e1071, JOUSBoost, lightgbm, keras, neuralnet, polyreg, glmnet, umap, reticulate, party, pROC, xgboost, ROCR, autoimage, deepnet, ncvreg, uwot, cdparcoord
Published: 2023-11-09
Author: Norm Matloff ORCID iD [aut, cre]
Maintainer: Norm Matloff <nsmatloff at ucdavis.edu>
BugReports: https://github.com/matloff/qeML/issues
License: GPL-2 | GPL-3 [expanded from: GPL (≥ 2)]
URL: https://github.com/matloff/qeML
NeedsCompilation: no
In views: MachineLearning
CRAN checks: qeML results

Documentation:

Reference manual: qeML.pdf
Vignettes: Feature_Selection
Function List
Machine Learning Overview
No P Values
Overfitting
PCA and UMAP
Quick Start
Unbalanced

Downloads:

Package source: qeML_1.1.tar.gz
Windows binaries: r-devel: qeML_1.1.zip, r-release: qeML_1.1.zip, r-oldrel: qeML_1.1.zip
macOS binaries: r-release (arm64): qeML_1.1.tgz, r-oldrel (arm64): qeML_1.1.tgz, r-release (x86_64): qeML_1.1.tgz

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