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
forestRK
View on CRAN: Click
here
Download and install forestRK package within the R console
Install from CRAN:
install.packages("forestRK")
Install from Github:
library("remotes")
install_github("cran/forestRK")
Install by package version:
library("remotes")
install_version("forestRK", "0.0-5")
Attach the package and use:
library("forestRK")
Maintained by
Hyunjin Cho
[Scholar Profile | Author Map]
[Scholar Profile | Author Map]
All associated links for this package
First Published: 2019-07-19
Latest Update: 2019-07-19
Description:
Provides functions that calculates common types of splitting
criteria used in random forests for classification problems, as well as
functions that make predictions based on a single tree or a Forest-R.K. model;
the package also provides functions to generate importance plot for a
Forest-R.K. model, as well as the 2D multidimensional-scaling plot of
data points that are colour coded by their predicted class types by the
Forest-R.K. model. This package is based on:
Bernard, S., Heutte, L., Adam, S., (2008, ISBN:978-3-540-85983-3)
"Forest-R.K.: A New Random Forest Induction Method",
Fourth International Conference on Intelligent Computing,
September 2008, Shanghai, China, pp.430-437.
How to cite:
Hyunjin Cho (2019). forestRK: Implements the Forest-R.K. Algorithm for Classification Problems. R package version 0.0-5, https://cran.r-project.org/web/packages/forestRK. Accessed 22 Dec. 2024.
Previous versions and publish date:
No previous versions
Other packages that cited forestRK R package
View forestRK citation profile
Other R packages that forestRK depends,
imports, suggests or enhances
Complete documentation for forestRK
Functions, R codes and Examples using
the forestRK R package
Some associated functions: bstrap . construct.treeRK . criteria.after.split.calculator . criteria.calculator . cutoff.node.and.covariate.index.finder . draw.treeRK . ends.index.finder . forestRK . get.tree.forestRK . importance.forestRK . importance.plot.forestRK . mds.plot.forestRK . pred.forestRK . pred.treeRK . var.used.forestRK . x.organizer . y.organizer .
Some associated R codes: bstrap.R . construct.treeRK.R . criteria.after.split.calculator.R . criteria.calculator.R . cutoff.node.and.covariate.index.finder.R . draw.treeRK.R . ends.index.finder.R . forestRK.R . get.tree.forestRK.R . importance.forestRK.R . importance.plot.forestRK.R . mds.plot.forestRK.R . pred.forestRK.R . pred.treeRK.R . var.used.forestRK.R . x.organizer.R . y.organizer.R . Full forestRK package functions and examples
Downloads during the last 30 days
Get rewarded with contribution points by
helping add
Reviews / comments / questions /suggestions ↴↴↴
Today's Hot Picks in Authors and Packages
composits
A compositional multivariate and univariate time series outlier ensemble.It uses the four R packages ...
Download / Learn more Package Citations See dependency
Download / Learn more Package Citations See dependency
Maintainer: Sevvandi Kandanaarachchi (view profile)
Rfast2
A collection of fast statistical and utility functions for data analysis. Functions for regression, ...
Download / Learn more Package Citations See dependency
Download / Learn more Package Citations See dependency
Maintainer: Manos Papadakis (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)
LOGANTree
Enables researchers to model log-file data from computer-based assessments using machine-learning te ...
Download / Learn more Package Citations See dependency
Download / Learn more Package Citations See dependency
Maintainer: Qi Qin (view profile)
wordspace
An interactive laboratory for research on distributional semantic models ('DSM', see < ...
Download / Learn more Package Citations See dependency
Download / Learn more Package Citations See dependency
Maintainer: Stephanie Evert (view profile)
dmlalg
Implementation of double machine learning (DML) algorithms in R,
based on Emmenegger and Buehlmann ...
Download / Learn more Package Citations See dependency
Download / Learn more Package Citations See dependency
Maintainer: Corinne Emmenegger (view profile)