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
ordinalNet
View on CRAN: Click
here
Download and install ordinalNet package within the R console
Install from CRAN:
install.packages("ordinalNet")
Install from Github:
library("remotes")
install_github("cran/ordinalNet") Install by package version:
library("remotes")
install_version("ordinalNet", "2.13") Attach the package and use:
library("ordinalNet")
Maintained by
Michael Wurm
[Scholar Profile | Author Map]
[Scholar Profile | Author Map]
All associated links for this package
First Published: 2015-11-22
Latest Update: 2025-05-15
Description:
Fits ordinal regression models with elastic net penalty.
Supported model families include cumulative probability, stopping ratio,
continuation ratio, and adjacent category. These families are a subset of
vector glm's which belong to a model class we call the elementwise link
multinomial-ordinal (ELMO) class. Each family in this class links a vector
of covariates to a vector of class probabilities. Each of these families
has a parallel form, which is appropriate for ordinal response data, as
well as a nonparallel form that is appropriate for an unordered categorical
response, or as a more flexible model for ordinal data. The parallel model
has a single set of coefficients, whereas the nonparallel model has a set of
coefficients for each response category except the baseline category. It is
also possible to fit a model with both parallel and nonparallel terms, which
we call the semi-parallel model. The semi-parallel model has the flexibility
of the nonparallel model, but the elastic net penalty shrinks it toward the
parallel model. For details, refer to Wurm, Hanlon, and Rathouz (2021)
.
How to cite:
Michael Wurm (2015). ordinalNet: Penalized Ordinal Regression. R package version 2.13, https://cran.r-project.org/web/packages/ordinalNet. Accessed 05 Aug. 2026.
Previous versions and publish date:
(2026-07-09 06:37), 1.1 (2015-11-22 11:48), 1.2 (2015-11-25 08:54), 1.3 (2015-11-30 23:57), 1.4 (2015-12-10 09:52), 1.5 (2016-07-27 10:58), 2.0 (2017-05-08 23:17), 2.1 (2017-08-19 06:09), 2.2 (2017-08-22 19:29), 2.3 (2017-10-03 10:49), 2.4 (2017-12-05 11:56), 2.5 (2018-09-10 22:20), 2.6 (2019-02-21 06:40), 2.7 (2020-01-10 16:00), 2.8 (2020-05-25 22:00), 2.9 (2020-07-21 08:30), 2.10 (2021-09-05 06:30), 2.11 (2022-02-16 11:20), 2.12 (2022-03-22 09:10), 2.13 (2025-05-15 20:00)
Other packages that cited ordinalNet R package
View ordinalNet citation profile
Other R packages that ordinalNet depends,
imports, suggests or enhances
Complete documentation for ordinalNet
Functions, R codes and Examples using
the ordinalNet R package
Some associated functions: coef.ordinalNet . ordinalNet . ordinalNetCV . ordinalNetTune . plot.ordinalNetTune . predict.ordinalNet . print.ordinalNet . print.ordinalNetCV . print.ordinalNetTune . summary.ordinalNet . summary.ordinalNetCV . summary.ordinalNetTune .
Some associated R codes: cdIn.R . cdOut.R . links.R . mirlsNet.R . misc.R . ordinalNet-methods.R . ordinalNet.R . ordinalNetCV.R . ordinalNetTune.R . Full ordinalNet package functions and examples
Downloads during the last 30 days
Today's Hot Picks in Authors and Packages
dhReg
Building and forecasting time series data with multiple seasonality using Dynamic Harmonic Regressio ...
Download / Learn more Package Citations See dependency
Download / Learn more Package Citations See dependency
Maintainer: Pranay Gaikwad (view profile)
noisyr
Quantifies and removes technical noise from high-throughput
sequencing data. Two approaches are use ...
Download / Learn more Package Citations See dependency
Download / Learn more Package Citations See dependency
Maintainer: Ilias Moutsopoulos (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)
dcov
Efficient methods for computing distance covariance and relevant statistics. See Sz ...
Download / Learn more Package Citations See dependency
Download / Learn more Package Citations See dependency
Maintainer: Hang Weiqiang (view profile)
kernelPSI
Different post-selection inference strategies for kernelselection as described in kernelPSI a Post-S ...
Download / Learn more Package Citations See dependency
Download / Learn more Package Citations See dependency
Maintainer: Lotfi Slim (view profile)
28,083
R Packages
239,283
Dependencies
74,457
Author Associations
28,084
Publication Badges
