Package: LogisticEnsembles
Type: Package
Title: Automatically Runs 36 Logistic Models (Individual and Ensembles)
Version: 0.8.1
Authors@R: 
    person("Russ", "Conte", , "russconte@mac.com", role = c("aut", "cre", "cph"))
Description: 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.
License: MIT + file LICENSE
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
Encoding: UTF-8
LazyData: true
RoxygenNote: 7.3.2
Suggests: knitr, rmarkdown
VignetteBuilder: knitr
URL: https://github.com/InfiniteCuriosity/LogisticEnsembles
BugReports: https://github.com/InfiniteCuriosity/LogisticEnsembles/issues
NeedsCompilation: no
Packaged: 2025-08-31 21:40:02 UTC; russellconte
Author: Russ Conte [aut, cre, cph]
Maintainer: Russ Conte <russconte@mac.com>
Repository: CRAN
Date/Publication: 2025-08-31 22:20:07 UTC
Built: R 4.6.0; ; 2025-10-11 04:13:04 UTC; windows
