R package citation, R package reverse dependencies, R package scholars, install an r package from GitHub hy is package acceptance pending why is package undeliverable amazon why is package on hold dhl tour packages why in r package r and r package full form why is r free why r is bad which r package to install which r package has which r package which r package version which r package readxl which r package ggplot which r package fread which r package license where is package.json where is package-lock.json where is package.swift where is package explorer in eclipse where is package where is package manager unity where is package installer android where is package manager console in visual studio who r package which r package to install which r package version who is package who is package deal who is package design r and r package full form r and r package meaning what r package has what package r what is package in java what is package what is package-lock.json what is package in python what is package.json what is package installer do r package can't install r packages r can't find package r can't load package can't load xlsx package r can't install psych package r can't install sf package r Write if else in NONMEM pk pd
CORElearn
View on CRAN: Click
here
Download and install CORElearn package within the R console
Install from CRAN:
install.packages("CORElearn")
Install from Github:
library("remotes")
install_github("cran/CORElearn") Install by package version:
library("remotes")
install_version("CORElearn", "1.57.3.1") Attach the package and use:
library("CORElearn")
Maintained by
Marko Robnik-Sikonja
[Scholar Profile | Author Map]
[Scholar Profile | Author Map]
All associated links for this package
First Published: 2009-09-20
Latest Update: 2024-11-04
Description:
A suite of machine learning algorithms written in C++ with the R
interface contains several learning techniques for classification and regression.
Predictive models include e.g., classification and regression trees with
optional constructive induction and models in the leaves, random forests, kNN,
naive Bayes, and locally weighted regression. All predictions obtained with these
models can be explained and visualized with the 'ExplainPrediction' package.
This package is especially strong in feature evaluation where it contains several variants of
Relief algorithm and many impurity based attribute evaluation functions, e.g., Gini,
information gain, MDL, and DKM. These methods can be used for feature selection
or discretization of numeric attributes.
The OrdEval algorithm and its visualization is used for evaluation
of data sets with ordinal features and class, enabling analysis according to the
Kano model of customer satisfaction.
Several algorithms support parallel multithreaded execution via OpenMP.
The top-level documentation is reachable through ?CORElearn.
How to cite:
Marko Robnik-Sikonja (2009). CORElearn: Classification, Regression and Feature Evaluation. R package version 1.57.3.1, https://cran.r-project.org/web/packages/CORElearn. Accessed 07 Aug. 2026.
Previous versions and publish date:
0.9.22 (2009-09-20 22:07), 0.9.24 (2009-12-06 11:29), 0.9.25 (2010-01-08 09:08), 0.9.26 (2010-01-11 08:42), 0.9.28 (2010-09-03 09:31), 0.9.29 (2010-09-08 08:44), 0.9.30 (2010-09-14 09:36), 0.9.32 (2010-12-01 15:29), 0.9.33 (2011-03-26 16:43), 0.9.34 (2011-04-04 09:36), 0.9.35 (2011-08-19 09:02), 0.9.36 (2012-01-03 17:20), 0.9.37 (2012-01-17 15:11), 0.9.39 (2012-01-28 06:02), 0.9.40 (2012-07-10 07:46), 0.9.41 (2013-01-04 12:07), 0.9.42 (2013-10-18 10:24), 0.9.43 (2014-05-12 07:51), 0.9.44 (2014-12-24 06:22), 0.9.45 (2015-01-27 10:08), 0.9.46 (2015-06-03 19:06), 1.47.1 (2015-09-04 07:35), 1.48.0 (2016-07-25 20:39), 1.50.1 (2017-03-26 23:02), 1.50.2 (2017-03-28 10:56), 1.50.3 (2017-03-28 17:27), 1.51.2 (2017-08-08 16:00), 1.52.0 (2018-01-04 16:46), 1.52.1 (2018-04-02 16:31), 1.53.1 (2018-09-29 12:30), 1.54.2 (2020-02-08 11:20), 1.56.0 (2021-03-23 08:50), 1.57.1 (2022-11-06 16:10), 1.57.2 (2022-11-16 13:11), 1.57.3.1 (2024-11-04 23:25), 1.57.3 (2022-11-18 15:10), (2026-07-15 10:42)
Other packages that cited CORElearn R package
View CORElearn citation profile
Other R packages that CORElearn depends,
imports, suggests or enhances
Complete documentation for CORElearn
Functions, R codes and Examples using
the CORElearn R package
Some associated functions: CORElearn-internal . CORElearn-package . CoreModel . attrEval . auxTest . calibrate . classDataGen . classPrototypes . cvGen . destroyModels . discretize . display.CoreModel . getCoreModel . getRFsizes . getRpartModel . helpCore . infoCore . modelEval . noEqualRows . ordDataGen . ordEval . paramCoreIO . plot.CoreModel . plot.ordEval . predict.CoreModel . preparePlot . regDataGen . reliabiltyPlot . rfAttrEval . rfClustering . rfOOB . rfOutliers . rfProximity . saveRF . testCore . versionCore .
Some associated R codes: Rinterface.R . dataGenerator.R . init.R . ordEval.R . rfVisualize.R . testCore.R . util.R . Full CORElearn package functions and examples
Downloads during the last 30 days
Today's Hot Picks in Authors and Packages
BayesESS
Determines effective sample size of a parametric prior distribution
in Bayesian models. For a web-b ...
Download / Learn more Package Citations See dependency
Download / Learn more Package Citations See dependency
Maintainer: Jaejoon Song (view profile)
r2resize
Automatic resizing toolbar for containers, images and tables. Various resizable or expandable contai ...
Download / Learn more Package Citations See dependency
Download / Learn more Package Citations See dependency
Maintainer: Obinna Obianom (view profile)
enrichwith
Provides the "enrich" method to enrich list-like R objects with new, relevant components. The curren ...
Download / Learn more Package Citations See dependency
Download / Learn more Package Citations See dependency
Maintainer: Ioannis Kosmidis (view profile)
modelwordcloud
Makes a word cloud of text, sized by the frequency of the word, and colored either by user-specified ...
Download / Learn more Package Citations See dependency
Download / Learn more Package Citations See dependency
Maintainer: Peter Hurford (view profile)
bbricks
A set of frequently used Bayesian parametric and nonparametric model structures, as well as a set of ...
Download / Learn more Package Citations See dependency
Download / Learn more Package Citations See dependency
Maintainer: Haotian Chen (view profile)
28,083
R Packages
239,283
Dependencies
74,457
Author Associations
28,084
Publication Badges
