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 25 Jun. 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 (2022-11-18 15:10)
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
airGRiwrm
Semi-distributed Precipitation-Runoff Modelling based on
'airGR' package models integrating human i ...
Download / Learn more Package Citations See dependency
Download / Learn more Package Citations See dependency
Maintainer: David Dorchies (view profile)
foster
Set of tools to streamline the modeling of the relationship betweensatellite imagery time series or ...
Download / Learn more Package Citations See dependency
Download / Learn more Package Citations See dependency
Maintainer: Martin Queinnec (view profile)
quickcode
The NOT functions, 'R' tricks and a compilation of some simple quick plus often used 'R' codes to im ...
Download / Learn more Package Citations See dependency
Download / Learn more Package Citations See dependency
Maintainer: Obinna Obianom (view profile)
sitmo
Provided within are two high quality and fast PPRNGs that may be used in an 'OpenMP' parallel enviro ...
Download / Learn more Package Citations See dependency
Download / Learn more Package Citations See dependency
Maintainer: James Balamuta (view profile)
edeaR
Exploratory and descriptive analysis of event based data. Provides methods for describing and select ...
Download / Learn more Package Citations See dependency
Download / Learn more Package Citations See dependency
Maintainer: Gert Janssenswillen (view profile)
27,535
R Packages
236,180
Dependencies
73,223
Author Associations
27,536
Publication Badges
