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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, r-oldrel (x86_64): qeML_1.1.tgz

Linking:

Please use the canonical form https://CRAN.R-project.org/package=qeML to link to this page.

These binaries (installable software) and packages are in development.
They may not be fully stable and should be used with caution. We make no claims about them.
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