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LogisticEnsembles

1.0.2Package record

Automatically Runs 18 Logistic Models-14 Individual Logistic Models and 4 Ensembles of Models

0packages depend
3.3Kdownloads / year
–test coverage
13/13flavors OK

Overview

About

Automatically returns results from 18 logistic models including 14 individual logistic models and 4 logistic ensembles of models. The package also returns 25 plots, 5 tables, and a summary report. The package automatically builds all 18 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 18 models.

Install

Health

CRAN checks
13OK
Slowest check: 7.4 min · r-oldrel-windows-x86_64
Status changes
  • OK13 OK2026-09-08
  • ERROR12 OK, 1 ERROR2026-09-07
  • OK13 OK2026-08-05
  • NOTE12 OK, 1 NOTE2026-08-01
  • OK13 OK2026-06-09
Show 4 earlier changesHide 4 earlier changes
  • ERROR12 OK, 1 ERROR2026-06-08
  • OK13 OK2026-05-02
  • ERROR11 OK, 1 ERROR2026-04-25
  • NOTE11 OK, 3 NOTE2026-03-10
Advisories

none known

Documentation

In release 1.0.2
READMEYes · 586 wordsVignettesYes · 12 · dynamicNEWSYes · 100% structured · mentions 1.0.2Citation fileNoWebsitenot declared in DESCRIPTION
Help pages
7 (1 internal)includes a package overview page
Examples that run
no examples
Exported functions with examples
0%
Documented parameters
not tracked
Return-value docs
not tracked
Help pages citing references
0%

Downloads

3.3K
CRAN downloads in the past year
Rank #11,946 · ~9/day · ~273/mo
Daily download trend is not available in this view yet.
35130 days
91790 days
3.3K1 year
Compare downloads with other packages →
Also on124 r2u5 autocran

Repository

3Stars
0Forks
11Open issues
0Open PRs
3Releases
127Commits
1Commit identities
127 commits · Last activity 2026-04-01 · 0% stars, 30d · Default branch at 1.0.2.9000, ahead of CRAN 1.0.2 (checked 2026-10-18)
Responsiveness
How these are sampled
PRs merged (all time)
not measured
Median days to close, 50 most recently updated closed issues
0
Median days to close, 50 most recently updated closed PRs
not measured

Stars over time

2025-11-13 · 12026-07-07 · 3
PracticesBeta

2 development-tooling and community-health practices detected across 2 families in the upstream repository

Checks run against github.com/infinitecuriosity/logisticensembles on 2026-10-18.

CRAN release process (1)
cran-comments.md
Lint, format, editor (1)
RStudio project
How this is detected·Detection ruleset v3 (2026-09-26)

Dependencies

Declared dependencies
38 external dependencies (excludes base and recommended)

Installing LogisticEnsembles adds 204 packages (104 with compiled code, 158 MB of source tarballs). Heaviest: stringi 11 MB, TH.data 8.2 MB, ggplot2 6.0 MB.

Imports (0)
none
LinkingTo (0)
none
Suggests (2)
Enhances (0)
none
Reverse dependencies
0direct
0indirect

Nothing depends on this yet.

Datasets

People & History

People (1)
Author, Maintainer since 0.5.0 (2025), Copyright holder
Releases (7)

Pick two releases to compare their code metrics.

Package metadata

First published
2025-04-01
Total releases
7 / 1 yrs
License
MIT + file LICENSE OSI
Minimum R
≥ 4.1.0
Bundled data
39 KB / 5 files
Download size
4.0 MB

Cite

Cite this package

Run in R for the authors' preferred citation:

citation("LogisticEnsembles")
Conte, R. (2026). LogisticEnsembles: Automatically Runs 18 Logistic Models-14 Individual Logistic Models and 4 Ensembles of Models (Version 1.0.2) [Computer software]. https://doi.org/10.32614/CRAN.package.LogisticEnsembles

This package has no citation file, so citation() returns this entry built from DESCRIPTION.

Cite the R Observatory

For a number measured here: a download total, a coverage figure, an archival date.

APA

Balamuta, J. J. (2026). R Observatory: Metrics for LogisticEnsembles version 1.0.2 [Data set]. HJJB, LLC. Data release v2026-10-22. https://doi.org/10.5281/zenodo.21843040

From data release v2026-10-22, which the citation names so these numbers can be found later. More on citing and the projects behind them.

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