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
ordinalForest
View on CRAN: Click
here
Download and install ordinalForest package within the R console
Install from CRAN:
install.packages("ordinalForest")
Install from Github:
library("remotes")
install_github("cran/ordinalForest")
Install by package version:
library("remotes")
install_version("ordinalForest", "2.4-4")
Attach the package and use:
library("ordinalForest")
Maintained by
Roman Hornung
[Scholar Profile | Author Map]
[Scholar Profile | Author Map]
All associated links for this package
First Published: 2017-04-13
Latest Update: 2022-11-30
Description:
The ordinal forest (OF) method allows ordinal regression with high-dimensional
and low-dimensional data. After having constructed an OF prediction rule using a training dataset,
it can be used to predict the values of the ordinal target variable for new observations.
Moreover, by means of the (permutation-based) variable importance measure of OF, it is also
possible to rank the covariates with respect to their importance in the prediction of the
values of the ordinal target variable.
OF is presented in Hornung (2020).
NOTE: Starting with package version 2.4, it is also possible to obtain class probability
predictions in addition to the class point predictions. Moreover, the variable importance values
can also be based on the class probability predictions. Preliminary results indicate that
this might lead to a better discrimination between influential and non-influential covariates.
The main functions of the package are: ordfor() (construction of OF) and predict.ordfor()
(prediction of the target variable values of new observations).
References:
Hornung R. (2020) Ordinal Forests. Journal of Classification 37, 4
How to cite:
Roman Hornung (2017). ordinalForest: Ordinal Forests: Prediction and Variable Ranking with Ordinal Target Variables. R package version 2.4-4, https://cran.r-project.org/web/packages/ordinalForest. Accessed 22 Dec. 2024.
Previous versions and publish date:
Other packages that cited ordinalForest R package
View ordinalForest citation profile
Other R packages that ordinalForest depends,
imports, suggests or enhances
Complete documentation for ordinalForest
Functions, R codes and Examples using
the ordinalForest R package
Some associated functions: hearth . ordfor . ordinalForest-package . perff . predict.ordfor .
Some associated R codes: RcppExports.R . hearth.R . ordfor.R . ordinalForest-package.R . perff.R . predict.R . predict.ordfor.R . print.ordfor.R . print.ordforpred.R . rangerordfor.R . simulateborders.R . youdenindex.R . Full ordinalForest 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)
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)
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)
tropAlgebra
It includes functions like tropical addition, tropical multiplication for vectors and matrices. In t ...
Download / Learn more Package Citations See dependency
Download / Learn more Package Citations See dependency
Maintainer: Muhammad Kashif Hanif (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)
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)