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ordinalNet
View on CRAN: Click
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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", "2.12")
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
10.32614/CRAN.package.ordinalNet . ordinalNet citation info . ordinalNet results . ordinalNet.pdf . ordinalNet_2.12.tar.gz . ordinalNet_2.12.zip . ordinalNet_2.12.zip . ordinalNet_2.12.zip . ordinalNet_2.12.tgz . ordinalNet_2.12.tgz . ordinalNet_2.12.tgz . ordinalNet_2.12.tgz . ordinalNet_2.12.tgz . ordinalNet_2.12.tgz . ordinalNet archive . https://CRAN.R-project.org/package=ordinalNet .
First Published: 2015-11-22
Latest Update: 2022-03-22
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 2.12, https://cran.r-project.org/web/packages/ordinalNet. Accessed 04 Apr. 2025.
Previous versions and publish date:
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)
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
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