LogisticEnsembles: Automatically Runs 24 Logistic Models (Individual and Ensembles)

Automatically returns 24 logistic models including 13 individual models and 11 ensembles of models of logistic data. The package also returns 25 plots, 5 tables, and a summary report. The package automatically builds all 24 models, reports all results, and provides graphics to show how the models performed. This can be used for a wide range of data, such as sports or medical data. The package includes medical data (the Pima Indians data set), and information about the performance of Lebron James. The package can be used to analyze many other examples, such as stock market data. The package automatically returns many values for each model, such as True Positive Rate, True Negative Rate, False Positive Rate, False Negative Rate, Positive Predictive Value, Negative Predictive Value, F1 Score, Area Under the Curve. The package also returns 36 Receiver Operating Characteristic (ROC) curves for each of the 24 models.

Version:	0.8.2
Depends:	adabag, arm, brnn, C50, car, corrplot, Cubist, doParallel, dplyr, e1071, gam, gbm, ggplot2, ggplotify, glmnet, graphics, gridExtra, gt, ipred, klaR, MachineShop, magrittr, MASS, mda, parallel, pls, pROC, purrr, R (≥ 2.10), randomForest, ranger, reactable, reactablefmtr, readr, rpart, scales, stats, tidyr, tree, utils, xgboost
Suggests:	knitr, rmarkdown
Published:	2025-10-12
DOI:	10.32614/CRAN.package.LogisticEnsembles
Author:	Russ Conte [aut, cre, cph]
Maintainer:	Russ Conte <russconte at mac.com>
BugReports:	https://github.com/InfiniteCuriosity/LogisticEnsembles/issues
License:	MIT + file LICENSE
URL:	https://github.com/InfiniteCuriosity/LogisticEnsembles
NeedsCompilation:	no
Materials:	README, NEWS
CRAN checks:	LogisticEnsembles results

Documentation:

Reference manual:

LogisticEnsembles.html , LogisticEnsembles.pdf

Vignettes:

vignette_0_The_Hello_World_of_LogisticEnsembles (source) vignette_1_the_data-colnum-numresamples (source, R code) vignette_2_remove_VIF_greater_than (source, R code) vignette_3_remove_ensemble_correlations_greater_than (source, R code) vignette_4_save_all_trained_models_and_save_all_plots (source, R code) vignette_5_how_to_handle_strings (source, R code) vignette_6_set_seed (source, R code) vignette_7_do_you_have_new_data (source, R code) vignette_8_Capstone-Using_multiple_features (source, R code) Report_template (source)

Downloads:

Package source:	LogisticEnsembles_0.8.2.tar.gz
Windows binaries:	r-devel: LogisticEnsembles_0.8.1.zip, r-release: LogisticEnsembles_0.8.1.zip, r-oldrel: LogisticEnsembles_0.8.2.zip
macOS binaries:	r-release (arm64): LogisticEnsembles_0.8.2.tgz, r-oldrel (arm64): LogisticEnsembles_0.8.2.tgz, r-release (x86_64): LogisticEnsembles_0.8.2.tgz, r-oldrel (x86_64): LogisticEnsembles_0.8.2.tgz
Old sources:	LogisticEnsembles archive

Linking:

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