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rminer

1.5.0Package record

Machine Learning Classification and Regression Methods

1packages depend
11.8Kdownloads / year
–test coverage
11/13flavors OK

Overview

About

Facilitates the use of machine learning algorithms in classification and regression (including time series forecasting) tasks by presenting a short and coherent set of functions. Versions: 1.5.0 improved mparheuristic function (new hyperparameter heuristics); 1.4.9 / 1.4.8 improved help, several warning and error code fixes (more stable version, all examples run correctly); 1.4.7 - improved Importance function and examples, minor error fixes; 1.4.6 / 1.4.5 / 1.4.4 new automated machine learning (AutoML) and ensembles, via improved fit(), mining() and mparheuristic() functions, and new categorical preprocessing, via improved delevels() function; 1.4.3 new metrics (e.g., macro precision, explained variance), new "lssvm" model and improved mparheuristic() function; 1.4.2 new "NMAE" metric, "xgboost" and "cv.glmnet" models (16 classification and 18 regression models); 1.4.1 new tutorial and more robust version; 1.4 - new classification and regression models, with a total of 14 classification and 15 regression methods, including: Decision Trees, Neural Networks, Support Vector Machines, Random Forests, Bagging and Boosting; 1.3 and 1.3.1 - new classification and regression metrics; 1.2 - new input importance methods via improved Importance() function; 1.0 - first version.

Install

Health

CRAN checks
2NOTE11OK
Check messages
NOTERd contentsr-devel-linux-x86_64-debian-clang, r-devel-linux-x86_64-debian-gcc
Rd files without \usage:
  ‘predict-methods.Rd’
\arguments should not be documented without \usage.

CRAN check page ↗

Slowest check: 5.2 min · r-oldrel-macos-x86_64
Status changes
  • NOTE11 OK, 2 NOTENow
  • NOTE12 OK, 1 NOTE2026-07-11
  • OK13 OK2026-06-09
  • ERROR12 OK, 1 ERROR2026-06-08
  • OK13 OK2026-05-02
  • ERROR11 OK, 1 ERROR2026-04-25
Show 1 earlier changeHide 1 earlier change
  • OK14 OK2026-03-10
Advisories

none known

Documentation

In release 1.5.0
READMENoVignettesNoNEWSNoCitation fileNoWebsitenot declared in DESCRIPTION
Help pages
18 (1 internal)
Examples that run
88%14 run in a plain check · 2 never run
Exported functions with examples
87%
Documented parameters
99%
Return-value docs
93%
Help pages citing references
94%

Downloads

11.8K
CRAN downloads in the past year
Rank #5,450 · ~32/day · ~987/mo
Daily download trend is not available in this view yet.
55030 days
1.5K90 days
11.8K1 year
Compare downloads with other packages →
Also on141 r2u8 autocran167 c2d4u

Dependencies

Declared dependencies
12 external dependencies (excludes base and recommended)

Installing rminer adds 93 packages (55 with compiled code, 85 MB of source tarballs). Heaviest: stringi 11 MB, TH.data 8.2 MB, ggplot2 6.0 MB.

Depends (0)
none
LinkingTo (0)
none
Suggests (0)
none
Enhances (0)
none
Reverse dependencies
1direct
0indirect
Imports 1
Depends, Imports or LinkingTo, most downloaded first

Datasets

People & History

People (1)
Author, Maintainer since 1.0 (2010)
Releases (16)

Pick two releases to compare their code metrics.

  • R
    R 4.6.0 released · 2026-04-24
  • 1.5.0Latest
    record
    2025-10-23 · current release · diff ↗
  • unarchivedReturned to CRAN
    2025-06-04
  • 1.4.9
    record
    2025-06-04 · diff ↗
  • archivedRemoved from CRAN
    2025-05-15
    requires archived package 'kknn'
  • R
    R 4.5.0 released · 2025-04-11
  • 1.4.8
    record
    2024-10-29 · diff ↗
  • 1.4.7
    record
    2024-10-23 · diff ↗
  • R
    R 4.4.0 released · 2024-04-24
  • R
    R 4.3.0 released · 2023-04-21
  • R
    R 4.2.0 released · 2022-04-22
  • R
    R 4.1.0 released · 2021-05-18
  • 1.4.6
    record
    2020-08-28 · diff ↗
  • R
    R 4.0.0 released · 2020-04-24
  • 1.4.5
    record
    2020-04-14 · diff ↗
  • 1.4.4
    record
    2020-04-09 · diff ↗
Show 20 earlier eventsHide 20 earlier events
  • 1.4.3
    record
    2019-12-16 · diff ↗
  • R
    R 3.6.0 released · 2019-04-26
  • R
    R 3.5.0 released · 2018-04-23
  • R
    R 3.4.0 released · 2017-04-21
  • 1.4.2
    record
    2016-09-02 · diff ↗
  • R
    R 3.3.0 released · 2016-05-03
  • 1.4.1
    record
    2015-07-18 · diff ↗ ·
    added 1 export
    mparheuristic
  • R
    R 3.2.0 released · 2015-04-16
  • 1.4
    record
    2014-11-07 · diff ↗ ·
    removed 3 exports
    medianminingpar, svmgrid, naivebayes
    added 1 export
    centralpar
  • R
    R 3.1.0 released · 2014-04-10
  • 1.3.1
    record
    2013-08-12 · diff ↗
  • R
    R 3.0.0 released · 2013-04-03
  • 1.3
    record
    2013-03-19 · diff ↗ ·
    removed 1 export
    multiROC
    added 2 exports
    mpause, naivebayes
  • 1.2
    record
    2012-10-17 · diff ↗ ·
    added 31 exports
    fit, mining, Importance, mgraph, vecplot, mmetric, metrics, meanint, medianminingpar, loadmodel, savemodel, loadmining, savemining, agg_matrix_imp, cmatrixplot, imputation, delevels, factorize, svmgrid, CasesSeries, lforecast, forplot, tsplot, holdout, crossvaldata, datalevels, RECcurve, ROCcurve, rmboxplot, s_measure and 1 more
  • R
    R 2.15.0 released · 2012-03-30
  • R
    R 2.14.0 released · 2011-10-31
  • 1.1
    record
    2011-04-25 · diff ↗
  • R
    R 2.13.0 released · 2011-04-13
  • 1.0
    record
    2011-01-15
  • R
    R 2.12.0 released · 2010-10-15

Package metadata

First published
2011-01-15
Total releases
16 / 15 yrs
License
GPL-2 OSI
Bundled data
339 KB / 10 files
Download size
453 KB

Cite

Cite this package

Run in R for the authors' preferred citation:

citation("rminer")
Cortez, P. (2025). rminer: Machine Learning Classification and Regression Methods (Version 1.5.0) [Computer software]. https://doi.org/10.32614/CRAN.package.rminer

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 rminer version 1.5.0 [Data set]. HJJB, LLC. Data release v2026-10-18. https://doi.org/10.5281/zenodo.21843040

From data release v2026-10-18, which the citation names so these numbers can be found later. More on citing and the projects behind them.

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